Seeking a full-time remote AI Products Senior Product Manager, the candidate will own the product lifecycle for AI-powered features and platforms, defining roadmaps, prototyping solutions, and ensuring enterprise-wide adoption while collaborating with cross-functional teams in a regulated financial services environment. Key responsibilities Own the AI product lifecycle by defining roadmaps, writing requirements, and delivering AI-powered features from concept through launch Partner with engineering to configure and operate AI platforms, driving continuous improvement and tracking adoption and quality Implement responsible AI governance and navigate regulatory requirements, ensuring compliance and enterprise impact Required qualifications Bachelor's degree in business, finance, or a technical field 7+ years in product/platform roles, including 1+ years in AI/ML-powered products or large-scale workflow automations Hands-on experience with AI product management, including using LLMs and spec-driven development practices Deep understanding of AI architectures, prompt engineering, and the ability to prototype workflows using no-code/low-code tools Proven ability to align AI initiatives with SEC/FINRA requirements and partner effectively with compliance teams

CPRS is a people first organization built on bold thinking, continuous learning, and genuine collaboration. We’ve earned a strong reputation for delivering high yield, comprehensive recovery audit solutions for clients across the retail and commercial sectors. We have a reputation built on professionalism, integrity, and exceptional service. We’re large enough to support major accounts, yet intentionally small enough to provide a customized, relationship driven approach. That balance is the cornerstone of our success. At CPRS, you’ll find meaningful opportunities to grow your skills, learn from experienced mentors, and advance your career. We take pride in our work, value our employees, and believe wellbeing and high performance go hand in hand. Our team loves what we do, and it shows in the results we deliver. We strive to be the industry partner of choice and a place where our employees can showcase their talents. Job Title: AI Product Manager(IT) Position Summary: The AI Product Manager owns CPRS’s enterprise AI product vision, roadmap, and value realization. This role is accountable for identifying, prioritizing, and sequencing AI initiatives that align to CPRS’s strategic objectives and deliver measurable business outcomes. Acting as the primary business-facing leader for AI, the AI Product Manager ensures that the right problems are selected, clearly defined, and successfully adopted by the organization. The AI Product Manager does not own technical design or engineering implementation. Instead, this role provides leadership and direction to the AI Architect and related technical contributors, ensuring that architectural decisions, development efforts, and delivery timelines remain tightly aligned to business priorities, success criteria, and enterprise constraints. Specific Responsibilities (Key tasks and outcomes): Other duties may be assigned. • Own the enterprise AI product vision, strategy, and roadmap in alignment with CPRS’s transformation priorities and business objectives. • Lead the intake, assessment, prioritization, and sequencing of AI opportunities and initiatives. • Partner with business leaders to identify operational pain points and define high-value AI use cases with clear business justification. • Translate business needs into well-defined product requirements, use cases, MVP scope, release plans, and measurable success criteria. • Serve as the primary business-facing leader for the AI function, ensuring initiatives focus on business value rather than technology experimentation. • Provide direction and prioritization guidance to the AI Architect, ensuring technical work aligns to approved product scope and delivery goals. • Establish and own the AI operating model, including governance, prioritization criteria, decision cadence, and stakeholder communication. • Monitor progress, manage tradeoffs, remove obstacles, and ensure alignment across scope, timelines, resources, and outcomes. • Own adoption planning, change management coordination, and post-deployment value realization tracking. • Prepare executive-ready communications on roadmap status, risks, dependencies, resourcing, and realized benefits. • Define standards for business cases, success measurement, and post-implementation reviews. • AI Technology stack decisions • Participate in budgeting discussions and decisions • Technology partnership building(Third-Party relationships) Position Requirements : • Experience leading cross-functional initiatives across business, technology, and executive stakeholders. • Strong capability in portfolio management, prioritization, and roadmap ownership. • Proven ability to convert strategic goals into executable product plans. • Strong communication, facilitation, and stakeholder management skills. • Working knowledge of AI-enabled business capabilities sufficient to guide prioritization and evaluate outcomes. Experience (Years and types): • Bachelor’s degree in business, technology, information systems, engineering, or related field. • 10+ years of experience in product management, program leadership, transformation, or enterprise technology delivery. Skills and Abilities: • Experience leading AI, automation, analytics, or digital…

Booz Allen Hamilton is looking for a Cyber Product Manager to lead the development of innovative digital products in AI and cybersecurity. This role involves collaborating with engineering and business teams to translate market needs into viable products, supporting all phases of the product lifecycle, and influencing product strategy. The ideal candidate should have at least 5 years of relevant experience and a Bachelor's degree, with a focus on cybersecurity. Applicants must possess a Secret clearance and a strong understanding of product management methodologies. #J-18808-Ljbffr

Seeking a full-time remote AI Products Senior Product Manager, the candidate will own the product lifecycle for AI-powered features and platforms, defining roadmaps, prototyping solutions, and ensuring enterprise-wide adoption while collaborating with cross-functional teams in a regulated financial services environment. Key responsibilities Own the AI product lifecycle by defining roadmaps, writing requirements, and delivering AI-powered features from concept through launch Partner with engineering to configure and operate AI platforms, driving continuous improvement and tracking adoption and quality Implement responsible AI governance and navigate regulatory requirements, ensuring compliance and enterprise impact Required qualifications Bachelor's degree in business, finance, or a technical field 7+ years in product/platform roles, including 1+ years in AI/ML-powered products or large-scale workflow automations Hands-on experience with AI product management, including using LLMs and spec-driven development practices Deep understanding of AI architectures, prompt engineering, and the ability to prototype workflows using no-code/low-code tools Proven ability to align AI initiatives with SEC/FINRA requirements and partner effectively with compliance teams

Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience designing, developing, delivering, and supporting AI services • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location The Job location is New Jersey - Onsite Hybrid Job Description We are seeking a skilled Agentic AI Engineer with: • A passion for staying at the forefront of emerging technologies, with an ability to quickly grasp complex scientific literature and thoughtfully implement innovative techniques in real-world applications. • Deep enthusiasm for agentic AI and demonstrated expertise in applying it creatively and effectively across diverse domains. • Extensive technical breadth spanning frontend and backend development, large language models (LLMs), machine learning, retrieval-augmented generation (RAG), and agentic AI solutions • Proven experience designing, developing, integrating, deploying, and maintaining sophisticated AI-driven systems at scale. Required Qualifications • Agentic AI Construction: Building agentic AI multi-node decision models that include things like, retrieval augmented generation (RAG), semantic search, state graphs/agentic memory, calling APIs • Agentic AI Guidance: Adding guardrails, human in the loop, multi-agent work flows, reflection, citing sources, response verification, and other methodologies to increase the accuracy of agentic responses and prevent hallucinations • Experience building with LangChain/LangGraph/LangSmith/Google Gemini/OpenAI's API, OpenAI's Swarm/Agents_SDK, vector databases, fine-tuning, SageWorks, BedRock, Docker • AI Centered Coding Workflow: Experience conducting research, systems architecting, analyzing code, troubleshooting, and writing code with LLMs, Cursor AI, Copilot, etc. Nice to Have Strong knowledge of full-stack development for AI-driven applications. Familiarity with Docker, Kubernetes, and DevOps methodologies. Background in AI research and experimentation.' The base compensation range for this role in the posted location is: 103330 - 128656 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Benefits Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Benefits: • Dental insurance • Health insurance • Vision insurance About Role We are seeking a highly motivated Junior Gen AI Engineer with experience in Agentic AI development, AI automation, voice AI, speech-to-speech systems, speech-to-text pipelines, image generation, video generation, and modern Gen AI platforms. The ideal candidate will work closely with senior engineering teams to build scalable AI-powered business communication and automation systems. Role: Junior Gen AI Engineer Location: South Plainfield, NJ (Onsite) Position: Fulltime Benefits: Health Insurance, Dental Insurance, Vision Insurance Key Responsibilities • Assist in development of Gen AI and Agentic AI systems • Build and support AI agents and workflow automation systems • Develop speech-to-speech and speech-to-text AI pipelines • Work on AI voice agents and conversational AI systems • Support development of AI image generation and video generation systems • Assist with RAG pipeline and vector database integrations • Work with Python-based AI backend systems • Collaborate with backend, frontend, and DevOps teams • Support deployment and testing of AI platforms • Research and evaluate emerging AI technologies and frameworks Required Technical Skills • Experience with Python programming • Basic to intermediate knowledge of Agentic AI development • Experience with OpenAI, Claude, Llama, Qwen, or similar LLMs • Knowledge of LangGraph, CrewAI, AutoGen, MCP, or similar frameworks • Experience with speech-to-text (STT) and text-to-speech (TTS) systems • Exposure to voice AI and conversational AI platforms • Knowledge of AI image generation and video generation tools • Basic understanding of vector databases and RAG architectures • Familiarity with APIs, Docker, Git, and cloud platforms • Strong problem-solving and learning abilities Required Experience • 2–4 years of software engineering or AI development experience • Experience working on AI/ML or Gen AI projects • Experience with modern AI frameworks and APIs • Strong willingness to learn and grow in advanced AI technologies • Good communication and teamwork skills Note: Please submit your resume along with a short note explaining why you are a strong fit and examples of AI systems you have built. at Jobs@vitelglobal.com About Company: VitelGlobal Communications is an Inc. 5000 recognized technology company delivering AI-powered business communication solutions across the United States and globally. We focus on cloud-based communication platforms, AI-driven automation, and conversational technologies that help businesses scale efficiently. Address: New Jersey 295 Durham Avenue, Suite D, South Plainfield, NJ 07080

In the assigned Job Role of Data Science Consultant 2 your Area Of Responsibility will be as below: Develop data preparation tasks while identifying patterns or anomalies. Ensure data readiness for advanced modeling. Develop models for complex use cases (e.g. forecasting models LLM-based solutions) while refining algorithms to meet business needs and ensure smooth deployment into scalable production-ready solutions. Conduct testing and optimize algorithms for performance reliability and scalability while providing guidance to team members in best practices. Design and develop predictive models and data-driven analyses to address business challenges. Build evaluate and deploy models standardize code and contribute to knowledge management. Leverage tools like SAS and R/Python to create reusable customizations for non-ML ML and deep learning algorithms while enhancing analytics including LLMs and create innovative cost-effective solutions. Define analytics problems for projects; execute visualization analysis and predictive modeling under guidance. Proactively maintain models and implement improvements for accuracy and reliability. Apply governance controls to mitigate risks and ensure compliance. Analyze performance trends recommend improvements and document discrepancies for escalation. Maintain comprehensive documentation standards while participating in knowledge transfer sessions. Participate in discussions with stakeholders to refine requirements provide insights and guide implementation of models. Apply the predefined quality measurement framework at an individual task level in the project. Deploy complex analytics tools or multi-system integration while validating deployment success. Participate in developing scripts or templates for repeated deployments tasks. Contribute to analytic solutions IP asset creation and training initiatives. Contribute to thought leadership such as papers innovative non-ML ML deep learning or LLM models and proofs of concepts. Participate in and deliver analytics training while contributing to content creation. Provide input for segment and unit-level business plans. Your contribution to the team: Deliver scalable high-quality analytics solutions aligned to business needs. A knack for optimization deployment and performance improvement of models. The ability to drive innovation through advanced analytics automation and thought leadership. Enable team growth through knowledge sharing training and standardization. Support business planning with data-driven insights. Benefits Along with competitive pay as a full-time Infosys employee you are also eligible for the following benefits: • Medical/Dental/Vision/Life Insurance • Long-term/Short-term Disability • Health and Dependent Care Reimbursement Accounts • Insurance (Accident Critical Illness Hospital Indemnity Legal) • 401(k) plan and contributions dependent on salary level • Paid holidays plus Paid Time Off About Us Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Required Skill and Experience Experience in cloud platforms (Azure GCP) and their AI/ML services. Experience in Generative AI LLMs and agentic frameworks. Preferred Skill and Experience Experience in Big Data technologies (e.g. BigQuery Hadoop). Expertise in ML model development data engineering and software engineering principles. Knowledge of MLOps and AI/ML deployment (e.g. SageMaker Snowflake). Familiarity with CI/CD DevOps and automation tools in AI/ML contexts. Additional Required Qualifications Bachelors degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. This position may require relocation and/or travel to work/project location. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future. Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA youll have the opportunity to work with cutting-edge technologies collaborate with industry experts and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth ensuring that our team members thrive in a dynamic and supportive environment. If youre passionate about AI and eager to make a significant impact the Infosys DNA unit is the perfect place for you to grow and excel. Required Experience: IC Employment Type : Full Time Experience: years Vacancy: 1

About the Role We’re looking for a Senior AI Engineer who builds real systems, not just demos. This role is for someone who can design and deliver AI-native applications end-to-end, embedding LLMs, agents, and intelligent workflows into production environments. You’ll work across software engineering, AI/ML, and system architecture, building solutions that operate at scale in mission-critical, regulated environments. What You’ll Do • Build AI-native applications embedded in enterprise workflows • Design end-to-end systems (frontend, backend, data, AI layers) • Develop and deploy: • RAG pipelines • Agent-based architectures • LLM-powered services • Create scalable APIs, microservices, and distributed systems • Deliver secure, compliant AI solutions for federal environments • Optimize performance, cost, and reliability in production • Help define internal AI frameworks and accelerators • Mentor engineers and lead technical design decisions What You Bring • 10+ years of full-stack engineering experience • 2+ years building AI-native or AI-first applications • Strong coding skills (Python, TypeScript/JavaScript, Java, etc.) • Hands-on experience with: • LLMs (prompting, RAG, agents) • APIs and microservices • Cloud platforms (AWS, Azure, or GCP) • SQL/NoSQL + vector databases • Experience building secure, scalable systems (enterprise or federal) • Ability to translate business needs into technical solutions Nice to Have • Experience with LangChain, LlamaIndex, or similar frameworks • Familiarity with vector DBs (Pinecone, Qdrant, Weaviate) • Experience with Docker, Kubernetes, CI/CD, and IaC • Knowledge of FedRAMP, NIST 800-53, FISMA • Federal experience or active clearance What Success Looks Like • You deliver a production AI system used by real users • You build scalable RAG or agent-based architectures • You help establish reusable AI engineering patterns • You contribute to internal AI platforms and innovation Who You Are • A builder who ships production systems, not just prototypes • A systems thinker who connects AI to real outcomes • Comfortable with ambiguity and shaping architecture • A leader who can drive clarity across teams Why Join Us • Work on cutting-edge AI systems in real-world environments • Influence the architecture of next-gen AI platforms • Join a high-performing, mission-driven team • Support impactful federal modernization efforts If you’re building serious AI systems and want to work on problems that matter, we’d love to talk.

Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. In this position... As a Studio Design Engineer (AI & Generative Workflows), you will bridge the gap between visionary design and engineering reality by leveraging the next generation of computational tools. You won’t just concept solutions; you will build the systems that optimize it. You will use vibe coding to rapidly prototype studio tools, utilize AI-driven 3D generation to accelerate surface scaffolding, and deploy autonomous agents to streamline the feasibility process. Your goal is to move the studio from traditional CAD process to an AI-augmented environment where the 'emotive character' of a design is protected by intelligent, real-time engineering feedback. What you'll do... • Architect AI Agents: Develop and deploy custom AI agents to automate the monitoring of Design Development Checklists, data pedigree, and property setup integrity. • Vibe Coding & Visual Scripting: Use natural language-based programming (vibe coding) to create bespoke Python scripts or macros within Catia/3DX that automate repetitive 'Studio property' setups and manikin drops. • Generative 3D Scaffolding: Lead the development of Surface Scaffold files by integrating AI-assisted 3D modeling tools (e.g., Vizcom, Luma AI, or Generative CAD) to rapidly explore 'what-might-be' scenarios before committing to formal A-surface. • Intelligent Feasibility: Lead the completion of studies within Design Feasibility Checkpoint Process by using legacy and predictive AI models to identify potential hardpoint or legislative conflicts earlier than traditional methods allow. • Augmented Integration: Lead the integration of A-surface with thematic and functional inputs, using AI to ensure the emotive character of the art is preserved while meeting strict engineering and attribute requirements. • Provocation & Optimization: Provide concept alternatives through generative design prompts, using AI to provoke new ways of reconciling thematic intent with program assumptions. • Data Orchestration: Manage the flow of data into and out of the studio using automated pipelines, ensuring the 'data pedigree' is maintained via intelligent version control. You'll have... • Bachelor of Science Degree in Mechanical Engineering, Automotive Engineering, or Computer Science with a focus on Design. • 3+ years of experience in complete vehicle layout/package, including Body and Trim. • 1+ years of experience in Catia V5 or 3DX. • Demonstrated experience in 'Vibe Coding' (e.g., using Replit, Cursor, or LLMs to build functional tools/scripts without deep manual coding). • Familiarity with AI-3D Workflows: Experience with generative design tools or text-to-3D/image-to-3D pipelines. Even better, you may have... • Agentic Workflow Experience: Demonstrated ability to build or use 'Agents' (e.g., AutoGPT, CrewAI, or custom GPTs) to automate professional workflows. • Strong familiarity with legislative requirements and the ability to train/prompt AI models to check for compliance. • Experience in leading and presenting AI-generated design explorations to decision-making forums. • A 'Hacker' mindset: A proven track record of finding unconventional ways to use new technology to solve old engineering bottlenecks. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including: • Immediate medical, dental, vision and prescription drug coverage • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more • Vehicle discount program for employees and family members and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day • Paid time off and the option to purchase additional vacation time. This position is open to salary grades 7-8 and ranges from $86,600-$166,200. Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value. For more information on salary and benefits, click here: https://fordcareers.co/GSR Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid #FDTOJOB #LI-SC3

Description:Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation. The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting-edge technologies. We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change. What You Will Be Doing: In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives for information retrieval. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts. Who You Are: You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self-starter and your work is executed without much direction, you develop solutions to complex problems requiring ingenuity and creativity. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to developing your skills and that of the team, and staying current with industry trends. You're a team player who is able to collaborate effectively with others and is excited about the opportunity to contribute to projects and initiatives that drive innovation and improvement. You're adaptable and able to work in a dynamic and fast-paced environment. What’s In It For You From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Further Information About This Opportunity: US Citizenship is required for this role due to program requirements and system access. #EBDT Basic Qualifications: • Full-stack software development experience. Proven coding/development experience with Python (proficient and can mentor others and review code) • Working knowledge of LLMs and/or Generative AI (knowledge of what they are and how they are used). • Experience with Information Retrieval and Sematic discovery systems • Demonstrated expereince with API design and specifications (REST/OpenAPI, JSON/JSON-Schema). You’ve built and managed APIs and back-end systems • Experience maintaining/managing github/gitlab projects with multiple developers on it • Familiarity and strategic use of GenAI Coding Assistants • US Citizenship is required due to program requirements and system access • Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience Desired Skills: • Practical experience with production level LLM Tool Calling workflows • Knowledge of Model Context Protocol • Expertise and strategic use of GenAI Coding Assistants • Expereince with agent development using various agentic tools and frameworks • Expereince with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle • Expereince with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes) • Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines) • Data engineering experience • Production level Information retrieval and semantic data discovery development expereince ( e.g. Experience with Vector Databases, k-NN, and Semantic Search) • Proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages. • Excellent communication, collaboration, and cross‑functional stakeholder expereince • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100 - $216,890. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800 - $191,820. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

A major financial institution in McLean, VA is seeking a Lead AI Engineer to develop and optimize cutting-edge AI systems. The successful candidate will leverage comprehensive AI technologies and collaborate with technical teams to design innovative solutions. A Bachelor's degree in a related field and extensive programming experience in languages such as Python or Java are essential. This role promises a dynamic environment contributing directly to transforming banking services for millions of customers. #J-18808-Ljbffr

Senior GenAI Engineer Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The Role As part of Capco’s Technology Delivery Team, you will bring hands-on experience in agile delivery and engineering best practices to develop innovative AI-driven solutions. As a Senior GenAI Engineer, you will contribute across the full AI lifecycle—from experimentation and prototyping through to production deployment—helping deliver scalable, high-impact solutions for financial services clients. What You’ll Do • Design and build applications using foundation models and modern GenAI techniques (e.g., RAG, agent-based workflows) • Develop and experiment with autonomous or semi-autonomous agent frameworks • Contribute to full-stack AI solutions, including backend services, APIs, and user-facing components • Deploy and scale AI/ML solutions in cloud environments (AWS, Azure, or GCP) • Collaborate with cross-functional teams and support knowledge sharing across the team What We’re Looking For • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field (or equivalent experience) • ~5+ years of software engineering experience with exposure to AI/ML or data-driven applications • Hands-on experience with LLMs or generative AI (professional or project-based experience) • Strong Python skills and experience building scalable backend systems • Experience working with cloud platforms and modern development practices • Willingness to work in our office 3 days/week Bonus Points For • Experience with GenAI concepts such as RAG, embeddings, vector databases, or agent-based systems • Familiarity with MLOps/LLMOps tools and model lifecycle management • Experience contributing to full-stack development across backend and frontend • Interest in staying current with emerging AI trends and technologies • Experience mentoring or supporting team development Why Join Capco • Deliver high-impact technology solutions for Tier 1 financial institutions • Work in a collaborative, flat, and entrepreneurial consulting culture • Access continuous learning, training, and industry certifications • Be part of a team shaping the future of digital financial services • Help shape the future of digital transformation across FS & Energy We offer a competitive, people-first benefits package designed to support every aspect of your life: • Medical, dental, and vision coverage • 401(k) with employer match • Paid parental leave and dependent care support • Tuition and wellness reimbursement programs • Commuter benefits and access to employee discount platforms Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Sr. Lead AI Engineer (Gen AI Platform Services)Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies • At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: • 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience designing, developing, integrating, delivering, and supporting complex AI systems • Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Leading the development of an AI platform, the full-time Technical Product Manager, AI will manage end-to-end processes from roadmap creation to rollout, collaborating remotely with engineers to enhance customer experiences and automate services. Key responsibilities Oversee the end-to-end development of the AI platform and customer experiences Collaborate with engineers to design prompt strategies and evaluation frameworks Act as a technical translator between engineering and the broader organization, establishing AI best practices Required qualifications 3+ years of experience in management consulting or technical product management at a fast-paced startup Proven interest and experience with modern LLM systems Ability to navigate technical tradeoffs and implement AI platform standards Strong background in transforming complex ideas into scalable products Familiarity with SQL and data analysis to validate hypotheses

Position: Product Manager, Central Data Repository & AI Analytics Location: Reardan Framework Ventures is seeking a Product Manager for their Central Data Repository focused on People Analytics and AI. This role involves owning product strategies, enhancing data platforms, and collaborating across various business domains. Candidates should have over 9 years of experience and expertise in product management, as well as a strong understanding of AI technologies and delivering data-driven business solutions. Join a dynamic team to influence key product launches and drive transformative growth. #J-18808-Ljbffr

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Luxury Presence sits on one of the most valuable data assets in real estate. Hundreds of MLS feeds flow into our platform every day, powering the home search experiences and listing content that 18,000+ real estate businesses depend on. But today, that data lives in two separate worlds: agent-managed listing content on one side, and MLS-sourced search data on the other. Different schemas, different pipelines, different product experiences. We’re at an inflection point. The opportunity isn’t just to unify these systems. It’s to build an entirely new category of data products on top of a unified foundation, products that turn MLS data into a competitive advantage for every agent on our platform. Think AI-powered search, automated CMAs, market intelligence, home valuations, listing performance analytics, and predictive seller leads. We’re scratching the surface of what’s possible. This role exists to change that. We need a Staff-level product leader who sees data the way a builder sees raw materials: not as something to store and display, but as something to shape into products that make agents more successful. You’ll own the data product strategy end-to-end, from unifying our listing data architecture to shipping the first wave of new products at a pace that only AI-native ways of working make possible. You must be AI-native. Not just familiar with AI tools. You think in AI-first terms when you scope products, accelerate your own work, and design experiences. You use AI to deliver at a pace and quality bar that would be impossible without it. That’s not a nice-to-have for this role. It’s the baseline. What You’ll Own Data Unification & Listing Suite • Lead the convergence of agent-managed listing content and MLS-sourced search data onto a single, central architecture, resolving divergent schemas, compliance requirements, and ownership models. • Own the Listing Suite product vision and delivery, creating a unified experience where agents manage all their listings, both agent-managed content and MLS-sourced data, in one place. • Partner with data engineering to define the unified data model, migration strategy, and phased rollout plan. AI-Powered Search • Define and ship AI-powered search to beta, transforming how consumers discover listings on agent websites. Move beyond filters to natural language, lifestyle-based discovery. • Work closely with engineering to scope the AI/ML components and define what "great" looks like for search relevance and personalization. Data Product Strategy & Roadmap • Within your first 60 days, deliver a prioritized data product roadmap that maps LP’s MLS data asset and enrichment opportunities to high-impact product concepts. • The roadmap should span agent-facing tools (CMAs, market intelligence, predictive seller leads, listing analytics), consumer-facing experiences (home valuation, AI search concierge), and brokerage analytics (market share, agent performance, recruitment intelligence). • Include build/buy/partner analysis, revenue potential estimates, and a phased execution plan. Data Product Delivery • Ship the first net-new data product within 4 months, leveraging LP’s existing data foundations to move fast. • Deliver at least 3 net-new data products to market within your first 12 months, establishing a repeatable cadence of high-impact releases. • Own each product end-to-end: problem framing, scoping, spec, delivery, launch, and iteration. How You’ll Work • Report to the Director of Product and partner daily with data engineering, application engineering, design, and product peers. • Operate as a force multiplier. One person delivering the output of a small team by leveraging AI, systems thinking, and relentless prioritization. • Drive alignment across engineering, data, design, and GTM without direct reports. You lead through clarity, trust, and execution. • Communicate crisply and proactively. You set context for leadership, unblock your engineering partners, and keep stakeholders informed without being asked. What We’re Looking For Experience • 7+ years in product management, with at least 3 years focused on data products, data platforms, or data-intensive consumer/B2B applications. • Deep, hands-on experience with MLS data, IDX/RETS/RESO standards, and the compliance landscape governing real estate listing data. You’ve built products on top of MLS feeds before and understand the nuances of data licensing, display rules, and listing lifecycles. • Track record of shipping data products from zero to one. Not just maintaining existing features, but creating new products that generated measurable business impact. • Experience with data architecture and modeling at a level where you can partner credibly with data engineers on schema design, unification, and enrichment pipeline decisions. You don’t need to write SQL all day, but you understand how data architecture choices shape product capabilities. AI-Native Mindset • You already use AI tools (LLMs, copilots, automation) to accelerate your own work, including research, specs, analysis, and prototyping, and can demonstrate how this changes your output and velocity. • You design products with AI as a core capability, not a feature bolt-on. You know where LLMs, embeddings, classification models, and AI-assisted workflows fundamentally change what’s possible. • You’ve shipped (or meaningfully contributed to shipping) at least one AI-powered product experience. Leadership & Mindset • Extreme ownership. You don’t wait for permission, escalate prematurely, or let ambiguity become an excuse. You figure it out and drive to outcomes. • Relentless execution. You ship fast, iterate fast, and hold yourself to aggressive timelines. You’re energized by velocity, not overwhelmed by it. • Audacious ambition. You look at LP’s data asset and see a portfolio of products, not incremental features. You think big and then make it real. • Customer empathy for real estate agents. You understand how agents work, what they value, and what they’ll pay for. You bridge the gap between what’s technically possible and what’s actually impactful. • Front-end product sensibility. You’re primarily a data product person, but you care about how data surfaces to users. You have instinct for the last mile of the experience. \n \n$200,000 - $240,000 a year \nJoin us in shaping the future of real estate The real estate industry is in the midst of a seismic shift, and the future belongs to those who break new ground. As one of the fastest-growing companies in the proptech and marketing sectors, Luxury Presence challenges the status quo of what technology can do for real estate agents, leaders, and brokerages. We're a team of agile and tenacious innovators working collaboratively to drive the industry forward. Together, we build game-changing products that empower modern real estate entrepreneurs to dominate their markets. From award-winning web design to agile SEO solutions to cutting-edge AI tools, we deliver tech that anticipates market shifts and keeps our clients ahead of their competition. Founded in 2016 by Stanford Business School alum Malte Kramer, Luxury Presence has grown to a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row. We're backed by world-class investors, including Bessemer Venture Partners, NextEquity Partners, Toba Capital, and Switch Ventures, and have raised $89 million to date. More than 18,000 real estate businesses rely on our platform, including 30% of the Wall Street Journal RealTrends top agents and teams. Additionally, many of the industry's most powerful brokerages rely on Luxury Presence as a trusted business partner. Every year since 2020, Luxury Presence has ranked on BuiltIn's Best Place to Work lists. HousingWire named our founder and CEO a 2024 Tech Trendsetter, we've received several Tech100 Awards, and we just scored an Inman Innovation Award for Best AI-Powered Platform. Luxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

The application window is expected to close on: 05/26/2026 • Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received • . • Meet the Team • Join Cisco's Enterprise AI Platforms and Enablement team, a group of passionate product managers, engineers, and designers building AI-powered automation tools that improve workflows across engineering, finance, and employee-facing platforms. You'll work alongside experienced mentors and cross-functional partners in a collaborative environment where learning and innovation are encouraged. • Your Impact • As an AI Product Manager, you will support the development and launch of automation products like Circuit Pulse, helping teams work smarter and faster. You will: + Assistin gathering user feedback and understanding pain points across enterprise workflows. + Help translate user insights into actionable product requirements. + Collaborate with engineering, design, and business teams to ensure product solutions meet real-world needs. + Contribute to defining metrics and analyzing product performance. + Support initiatives that ensure privacy, security, and user trust are embedded in product features. You will gain hands-on experience in product management, cross-functional leadership, and AI product development, setting a foundation for a successful career in enterprise technology. • Minimum Qualifications • + Completion within the past 3 years, or current enrollment with expected completion within 12 months, of a certification or degree program (e. g., Associates, Apprenticeship, Boot Camp, or Certification in a specialized program + 3 years of relevant experience, High School Diploma + 4 years of relevant experience, Bachelors + 2 years of relevant experience) or Masters + 0 years of relevant experience. Relevant fieldsinclude: Engineering, Computer Science, or related technicalfield. + Familiarity with AI, automation, enterprise software, or workflow tools. + Strong communicationskills and the ability to work collaboratively in a team environment. + Analytical mindset with the ability to gather insights and contribute to product decisions. • Preferred Qualifications • + Experience with SaaS or enterprise platforms (e.g., Webex, Outlook, SharePoint, Jira). + Understanding ofAPIs, integrations, or enterprise data architectures. + Exposure toprivacy, security, or compliance considerations in software development. + Experienceparticipatingin focus groups, workshops, or user testing. • Why Cisco? • At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. • Message to applicants applying to work in the U. S. and/or Canada: • The starting salary range posted for this position is $110,400.00 to $159,600.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation • , equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees • receive 16 days of paid vacation time per full calendar year, accrued at rate of 4. 92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $110,400.00 - $183,600.00 Non-Metro New York state & Washington state: $106,600.00 - $162,000.00 • For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. • Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Job Description Description [REDACTED] is a global technology and content company built for the future of sports consumption. [REDACTED]'s proprietary technology platform enables the creation, distribution, and monetization of digital content experiences, which powers [REDACTED]'s portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided as well as hundreds of sports leagues, teams, broadcasters, third-party publishers and advertisers. The technology platform includes, (i) STN Video, an online video platform (OVP), which provides access to a robust sports highlights rights portfolio, and (ii) Magnifi, an AI-driven SaaS platform, that enables rights holders to detect key moments and create highlights in real time. [REDACTED] is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve. [REDACTED] has offices in the US, UK, Israel, Brazil, Asia and India. For more information, visit [REDACTED]. Overview We are looking for a Senior Product Manager to help redefine the future of sports publishing by transforming our platform into an AI-native ecosystem and building next-generation AI-powered fan experiences. This role sits at the intersection of AI, content systems, and sports fan consumption. You will lead the evolution of our publishing platform into a machine-readable, entity-driven system optimized for both direct user experiences and AI-powered discovery. As a sports-focused company, this role requires a deep understanding of how fans consume sports content - including articles, highlights, live moments, and real-time experiences and how those behaviors are evolving in an AI-driven world. You will play a key role in shaping how AI is applied across the entire sports content lifecycle, from content creation and structuring to real-time highlights, personalization, and discovery. The ideal candidate combines strong technical depth with creative product thinking and understands how AI is fundamentally reshaping content discovery, attribution, user experience, and publisher economics. You will help define how a global publisher operates in an AI-native internet, shaping both the platform architecture and product experiences that power the next generation of sports content. What You'll Do • Lead the evolution of [REDACTED]'s publishing platform toward an AI-native, where structured, machine-readable, and optimized for AI retrieval as well as user consumption. • Help define the long-term AI platform strategy for how content is created, structured, enriched, indexed, and retrieved across our ecosystem. • Define and own sports entity models and content frameworks (players, teams, matches, highlights, etc.) • Build AI-powered systems for content structuring, enrichment, and retrieval • Develop AI-driven fan experiences (e.g., summaries, recommendations, personalized content) • Define and execute a strategy for how [REDACTED] content is surfaced across emerging AI-driven discovery environments including: Google AI Overviews, ChatGPT, Claude, Perplexity, etc. Ensure our content is optimized for retrieval, citation, attribution, and visibility within these environments. • Collaborate with strategic partners and AI platform providers to ensure strong representation of our content across emerging AI ecosystems. • Define the measurement frameworks needed to evaluate performance in AI-driven ecosystems. This includes defining metrics beyond traditional referral traffic, such as: citation share, AI visibility, and engagement. • Collaborate cross-functionally with Engineering, Editorial, Data, SEO, and Revenue teams. Requirements What You Have • 5+ years of product experience within a digital publisher, media company, or content platform, with a strong background in sports publishing, sports media, or fan-facing sports products. • Deep understanding of the sports publishing ecosystem, including CMS platforms, editorial workflows, content monetization models, SEO, and Google Discover. • Strong technical fluency in AI systems, including Retrieval Augmented Generation (RAG), vector embeddings/databases, AI agents, entity models, and knowledge graph concepts. • Experience working with structured content models, entity-based search, AI crawling behaviors, and content retrieval mechanisms. • Demonstrated passion for AI and its impact on content, media, and user experiences, with a strong data-driven mindset. • Proven ability to define experimentation frameworks and measurement models, and collaborate with global, cross-functional teams in a fast-paced, agile environment. Where You'll Be • Remote (East Coast Preferred) The expected salary range for this position is between $135,000 and $150,000. Actual pay will be determined based on skills, experience, and location. This position is also eligible for performance-based compensation. The benefits available for this position include flexible vacation policy, 15 paid holidays, paid parental leave, health insurance, 401(k) with company match. Not sure that you're 100% qualified but are up for the challenge? We want you to apply! [REDACTED] is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. [REDACTED] participates in E-Verify. Check the URL and email address of any correspondence with [REDACTED]. If it is not from @[REDACTED], treat it as fraudulent. To learn how to protect yourself from recruitment fraud click here. Roles & Responsibilities • 5+ years of product experience within a digital publisher, media company, or content platform, with a strong background in sports publishing, sports media, or fan-facing sports products • Deep understanding of the sports publishing ecosystem, including CMS platforms, editorial workflows, content monetization models, SEO, and Google Discover • Strong technical fluency in AI systems, including Retrieval Augmented Generation (RAG), vector embeddings/databases, AI agents, entity models, and knowledge graph concepts • Experience working with structured content models, entity-based search, AI crawling behaviors, and content retrieval mechanisms

Are you passionate about driving innovation and shaping the future of technology? Do you have a strong background in product management and a deep understanding of AI software? Intel is seeking a dynamic and experienced AI Software Product Manager to join our team and help us deliver cutting-edge AI solutions to the market. In this role, you will be responsible for leading the product strategy, development, and launch of our AI software products. We are looking for a self-motivated and results-driven individual who can thrive in a fast-paced and collaborative environment. If you have a proven track record of successfully managing AI software products and possess strong technical acumen, we want to hear from you! Join us at Intel and be a part of shaping the future of AI technology.\n\nDevelop and execute product strategies for AI software products, in line with Intel's overall business objectives. Conduct market research and gather insights to identify customer needs and trends in the AI software industry. Collaborate with cross-functional teams including engineering, sales, and marketing to define product features and prioritize product development. Develop and maintain a comprehensive product roadmap including timelines, milestones, and deliverables. Lead the product development process, from ideation to launch, ensuring all products are delivered on time, within budget, and meet quality standards. Conduct competitive analysis to identify opportunities for differentiation and continuously improve product offerings. Act as the subject matter expert for AI software products, providing technical guidance and support to internal teams and external stakeholders. Monitor and analyze key performance metrics for AI software products, and use data-driven insights to make informed decisions and drive product improvements. Collaborate with sales teams to develop pricing strategies and support them in effectively positioning and promoting products to customers. Stay updated on industry trends and advancements in AI software, and use this knowledge to drive innovation and keep Intel at the forefront of the market. Mentor and coach junior team members, and foster a culture of continuous learning and growth within the product team. Communicate product updates and developments to internal and external stakeholders, including executives, customers, and partners. Represent Intel and its AI software products at industry events, conferences, and tradeshows. Adhere to company policies and procedures, and maintain a high level of professionalism and integrity in all interactions. Intel is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Mercor is seeking advanced STEM Researchers to join a pioneering AI lab in Brookhaven. This role focuses on evaluating frontier-model tasks, requiring a PhD in a STEM field and 3+ years of relevant experience. Candidates will guide research teams, design rigorous tasks, and provide expert feedback in a dynamic environment.The position supports cutting-edge AI initiatives and requires a commitment to 40 hours per week. Ideal candidates will have strong communication skills and a background in computational modeling or data analysis.

Mercor is seeking advanced STEM Researchers and PhD-level subject-matter experts to join a leading AI lab's research team. This role focuses on developing advanced LLMs and solving rigorous scientific problems across various STEM disciplines. Candidates should have a PhD and 3+ years of relevant experience, alongside strong communication skills. The position is a W-2 role through Cincinnatus LLC, requiring a commitment of 40 hours per week during weekdays.

Peraton Labs delivers world-class cybersecurity, natural language processing, and machine learning research and engineering to government agencies, telecom carriers, utilities and commercial enterprises. Drawing on its Bell Labs heritage, Peraton Labs excels at creating innovative technologies and services to solve challenging and complex problems. We are looking for candidates with a background in artificial intelligence and software engineering for a full-time position at Peraton Labs. Candidates will work in concert with the team to research, conceive, and develop solutions through innovative approaches to solving problems. The AI Research Scientist will be expected to: • Work under the direction of project managers to design, train and evaluate machine learning models in support of analytic efforts. • Develop, train, and evaluate machine learning models, incorporating feedback from linguists and subject matter experts. • Explore, sanitize, and curate datasets in support of model training. • Collaborate with linguists to identify and evaluate potential dataset sources. • Assist software engineers • Participate in progress briefings and technical exchange meetings; present developments to industry stakeholders. Qualifications Skills and Experience You Should Possess: • At least 1 year with BS/BA, 0 years with MS/MA, 0 years with PhD • Experience in one or more of the following: natural language processing (NLP), computer vision, and/or generative models (GenAI). • Demonstrated software development ability in Python. • Familiarity with DBMS including PostgreSQL. • Experience with source control tools including Git. • US Citizen • Active Secret Clearance with ability to qualify for a Top Secret/SCI security clearance. Details Target Salary Range: $80,000 - $128,000. This represents the typical salary range for this position based on experience and other factors. EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have worked at the frontier of AI — at companies like OpenAI, NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of intelligent systems. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by cu

GAP INTERNATIONAL – A unique, purpose-driven, consulting company ABOUT GAP INTERNATIONAL Gap International is a global consulting firm that partners with executives to achieve breakthrough business results. We’re a team of passionate problem-solvers committed to innovation and transformation. As part of our growth strategy, we’re expanding our AI capabilities to deliver cutting-edge solutions across the enterprise. This role offers the opportunity to work on impactful projects, including dialog-driven learning and business process acceleration. ABOUT THE ROLE You will be part of a tight knit, highly collaborative research and development team focused on building real-world AI applications. As an AI/LLM Engineer, you will lead the design and implementation of advanced systems centered on large language models and natural language understanding. Your work will involve techniques such as fine-tuning, retrieval-augmented generation (RAG), and prompt engineering to solve meaningful business challenges. You will work closely with teams to explore data, shape requirements, and integrate AI capabilities into internal tools and digital products. Your contributions will drive innovation and shape transformative projects across the organization. RESPONSIBILITIES • Design and implement AI systems using Large Language Models (LLMs) to solve enterprise challenges and improve operational efficiency. • Fine-tune foundation models and apply techniques such as retrieval-augmented generation (RAG) and prompt engineering. • Collaborate with cross-functional teams to integrate AI capabilities into internal tools, workflows, and digital products. • Evaluate and experiment with frameworks and tools like Hugging Face, LangChain, OpenAI, Claude, and LLaMA. • Build and deploy scalable LLM solutions across cloud-based and local environments, leveraging container orchestration tools where applicable. • Lead architectural decisions and guide implementation of reusable frameworks for model evaluation, optimization, and deployment. • Design, develop, and optimize autonomous AI agents. • Apply emerging research to practical use cases, staying current with advancements in NLP and generative AI. • Mentor team members and contribute to a collaborative, high-performance development environment. REQUIREMENTS • Minimum Master’s degree in Computer Science, Engineering, or a related technical field (PhD preferred); candidates with a Master’s must have at least 2 years of relevant work experience since graduating. • Strong experience developing and deploying LLM-based applications, including fine-tuning and prompt engineering. • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow, along with version control tools like GitHub. • Familiarity with cloud-based AI services and APIs (e.g., OpenAI, AWS, Azure, GCP) and experience deploying models in scalable environments. • Solid understanding of NLP concepts, transformer architectures, and evaluation metrics for LLM systems. • Experience designing and implementing end-to-end training pipelines, including data shaping, model tuning, and performance optimization. • Ability to communicate complex technical concepts clearly across teams and to non-technical stakeholders. • Contributions to the AI/ML community through publications, open-source projects, or thought leadership. GAP INTERNATIONAL ASSOCIATES • Purposeful people at work impacting companies around the world. • People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone. • Comfortable with ambiguity; eager to take on things they don't know how to do. • Curious and flexible when it comes to their own growth and development, as well as receptive to coaching and feedback to maximize their potential. • Willing to communicate and contribute thoughts, insights and new ideas to senior leaders both internally and externally. WHAT WE OFFER • A role with significant impact and visibility within the company. • Opportunities for professional growth and development in a supportive and collaborative environment. • Competitive salary commensurate with experience. • A dynamic and inclusive company culture. TO APPLY Please submit your resume which includes a list of publications, a cover letter explaining your interest and how your skills and experience meet the qualifications of the position, and any relevant portfolio or GitHub links showcasing your previous work or projects. Gap International associates are based out of our corporate office in the Philadelphia metropolitan area. In order to be considered for this role, applicants should be legally authorized to work in the US. Gap International is an equal opportunity employer and values diversity. All employment is decided on the basis of qualifications, merit and business need, and all qualified candidates will receive consideration.

Luminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California. About LuminaryLuminary helps engineering companies be more competitive by getting to market faster, creating new, better products, and reducing development risk. We do this with our Physics AI platform, the fastest and easiest way to build and deploy models to understand and instantly predict physical reality with precision. Customers span industries from automotive and aerospace, to leading sporting equipment providers, including Otto Aviation, Joby Aviation, Piper Aircraft and Trek Bikes. Luminary is a Series B company and is headquartered in San Mateo, California. The RoleWe're looking for an LLM Engineer to architect our Physics AI Copilot—the next generation of intelligent assistants for engineering workflows. You'll work at the intersection of large language models and domain-specific engineering challenges, creating AI experiences that dramatically accelerate how engineers work. Responsibilities• Develop Agentic AI systems: Design and implement tools for agents to call; build reasoning, planning, and orchestration capabilities that enable the copilot to autonomously execute complex engineering workflows • Design and optimize RAG pipelines: Build retrieval-augmented generation systems over engineering documentation, physics simulation results, and domain knowledge bases • Implement memory and context management: Create persistent conversation memory and context systems that maintain coherent, long-running engineering sessions • Fine-tune and adapt LLMs: Customize foundation models for Physics AI and physics simulation domain expertise through fine-tuning, prompt engineering, and evaluation frameworks • Deploy and scale LLM infrastructure: Build robust, production-grade systems for self-hosting and serving LLMs, optimizing for latency, cost, and reliability • Integrate with Physics AI and physics simulation platform: Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines, physics simulation solvers, mesh tools, and analytics APIs to enable end-to-end automation • Establish evaluation frameworks: Define metrics and build testing infrastructure to measure copilot quality, accuracy, and user satisfaction • Collaborate cross-functionally: Work closely with Physics AI researchers, platform engineers, and product teams to deliver customer-centric AI experiences QualificationsRequired• Bachelor's degree or higher in Computer Science, Mechanical Engineering, Aerospace Engineering, or related field • 5+ years of experience building production software or ML systems • 2+ years of hands-on experience developing LLM-powered applications • Strong proficiency in Python • Proficiency using coding agents such as Claude Code • Experience with Agent Evals • Deep understanding of LLM architectures, prompting techniques, and their capabilities/limitations • Experience designing tools/functions for agents to call, with planning and reasoning • Experience with multi-agent orchestration and coordination • Hands-on experience with RAG systems and memory/context management, including vector databases, embedding models, chunking strategies, and long-running session handling • Experience building MCP (Model Context Protocol) servers to expose tools and capabilities to external agents • Experience with agent frameworks (e.g., LangChain, LlamaIndex, Google ADK, Autogen, Claude Agent SDK, or custom solutions) • Familiarity with Physics AI, CAE, or physics simulation domains a plus • Experience fine-tuning LLMs for domain-specific applications • Hands-on experience self-hosting and serving LLMs in production environments Nice to Have• Experience with TypeScript for full-stack development • Experience with Go for backend systems • Familiarity with Kubernetes for container orchestration and deployment • Experience with GPU infrastructure and optimization for LLM inference • Experience deploying ML systems on cloud platforms (GCP, AWS, Azure) or on-prem infrastructure • Background in CFD, structural analysis, or thermal simulation • Experience building developer tools or copilot-style products • Contributions to open-source LLM projects or research publications

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and

Lead AI Engineer (FM Hosting, LLM Inference) Job Description At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience designing, developing, delivering, and supporting AI services • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, C/C++, Rust, Go, Java, and JavaScript (including ReactJS) — with particular emphasis on systems-level code, performance-critical applications, and infrastructure. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curat

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Ideal Background: This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • W

AI/LLM Engineer 18 Month W2 Contract Hybrid 3 days onsite 2 days remote Charlotte, NC (Local candidates ONLY) Onsite Interview June 2nd One and Done Interviews $55-$65/hour Job Description – AI/LLM Engineer (RAG & Agentic Systems) We are seeking a highly motivated AI/LLM Engineer to join a growing team focused on building next-generation generative AI solutions within the banking and financial services domain. This role will focus on designing and productionizing Retrieval-Augmented Generation (RAG) pipelines, agentic AI systems, and LLM-powered applications that interact with financial and structured enterprise data. The team is open to strong early-career candidates, including recent graduates with exceptional academic backgrounds, internships, or impactful AI/ML projects. Key Responsibilities • Design, extend, and optimize RAG pipelines, retrieval strategies, embedding workflows, and semantic search capabilities. • Build and productionize agentic AI architectures that orchestrate across: • RAG workflows • Structured SQL/data retrieval • External APIs and downstream actions (e.g., report/PPT generation) • Fine-tune and evaluate LLMs using model adaptation techniques, prompt engineering, and inference optimization. • Implement model safety mechanisms, guardrails, hallucination mitigation, and response validation strategies. • Develop and maintain APIs, endpoints, and tooling for model serving, observability, monitoring, and versioning. • Partner with SQL/data engineering teams to securely integrate structured enterprise data into LLM workflows. • Design reusable retrieval templates and interfaces for enterprise-scale AI applications. • Implement testing frameworks and monitoring for: • Latency • Accuracy • Hallucination rates • Cost efficiency • Retrieval quality • Participate in architecture and vendor-selection discussions focused on scalability, performance, and cost optimization. Required Skills • Hands-on experience building production-grade RAG pipelines and agentic AI systems. • Strong experience with LLM fine-tuning, model adaptation, or custom inference workflows. • Deep understanding of at least one LLM orchestration framework such as: • LangChain • LlamaIndex • Similar orchestration frameworks • Strong Python development and API engineering experience. • Ability to clearly explain: • System architecture decisions • Tool/framework selection • Dataset preparation • Evaluation methodologies • Deployment and productionization strategies • Experience working on AI/ML projects such as: • Chatbots • Financial AI applications • Intelligent document/query systems Nice-to-Have Skills • Experience integrating LLMs with relational or structured databases. • Familiarity with vector databases and embedding stores such as: • Pinecone • Milvus • Weaviate • Oracle vector/embedding capabilities • Knowledge of: • Prompt engineering • Retrieval augmentation • LLM safety • Hallucination mitigation • Guardrail implementation • Experience with cloud infrastructure, model hosting, and monitoring in distributed environments. • Exposure to Kubernetes, serverless architectures, and AI infrastructure cost optimization. • Java experience is a plus for interoperability with enterprise systems. Preferred Background • Banking, financial services, fintech, or enterprise AI environments. • Strong academic background in Computer Science, AI/ML, Data Science, or related fields. • Candidates with standout internships, research, or hands-on AI projects are highly encouraged to apply.

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies • At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience designing, developing, delivering, and supporting AI services • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About the Project If the following job requirements and experience match your skills, please ensure you apply promptly. Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. Ideal Qualifications • 2+ years of experience in backend engineering, AI automation, or complex systems integration. • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting). • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases. • Practical experience building for live, non-mocked environments and handling multi-turn system interactions. • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors. Nice to have • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output. • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems. • High level of comfort implementing persistent state and session discovery using to track agent progress. • Experience identifying

At NVIDIA, we're solving the world's most exciting problems with our unique approach to accelerated computing. We're looking for a passionate AI research scientist with deep quantum computing expertise to path-find the future of fault-tolerant quantum systems powered by machine learning. Quantum computing is a strategic priority for NVIDIA, and our goal is to accelerate the entire ecosystem. As a Sr. Applied Research Scientist in Quantum Computing, you will architect and build AI solutions at the heart of fault-tolerant quantum computing—spanning quantum error correction, decoding, calibration, and beyond. You will research and develop open AI models, curated datasets, and rigorous benchmarks that advance the state of the art and empower the broader quantum community. Your research will help translate cutting-edge theory into practice by fine-tuning models for specific quantum error-correcting codes and hardware platforms, while collaborating with multi-functional teams across Product, Engineering, and Applied Research to integrate AI into next-generation Accelerated Quantum Supercomputers! Do you love developing new technology, enjoy working with collaborative people and teams around the world, and operating at the speed of light? If yes, we would love to hear from you! What You'll Be Doing Design and architect AI/ML models—including deep neural networks, graph neural networks, transformers, and reinforcement-learning agents—for quantum error correction, syndrome decoding, logical operation synthesis, and real-time calibration in fault-tolerant quantum systems. Develop cutting-edge AI techniques for quantum computing that contribute to NVIDIA's open model efforts across the quantum ecosystem. Help create high-quality, large-scale datasets for quantum error correction and quantum system characterization, including simulated and hardware-derived syndrome data, enabling the community to train and evaluate AI models at scale. Collaborate with quantum hardware teams to collect and structure hardware-derived training data, enabling domain-adapted models that improve over time as hardware matures. Co-design AI solutions with quantum hardware and software teams, ensuring decoders and calibration models meet latency and throughput requirements for real-time operation inside fault-tolerant feedback loops. Communicate research findings through top-tier venues and collaborate with academic and industry partners to advance the field, while championing a culture of rapid innovation, technical depth, and creative problem solving. What We Need To See Degree in Computer Science, Physics, Applied Mathematics, Electrical Engineering, or a related field (Ph.D. strongly preferred); equivalent demonstrated experience also considered. 8+ years of combined experience in quantum computing and/or AI/ML research, with a track record of high-impact contributions in at least one of these domains. Deep expertise in machine learning and deep learning—including model architecture design, training at scale, and evaluation—applied to scientific or engineering problems. Strong background in Quantum Information Science, including quantum error correction, fault-tolerant protocols, and quantum noise models. Excellent communication skills and the ability to collaborate effectively with multi-functional teams across research, engineering, and product. Ways To Stand Out From The Crowd Hands-on experience developing learned decoders or AI-driven calibration systems for quantum hardware (superconducting qubits, trapped ions, or other platforms). Experience with large-scale model training and fine-tuning—including parameter-efficient fine-tuning (LoRA, QLoRA, adapters) and domain adaptation for scientific AI models. Proficiency with CUDA and NVIDIA GPU programming for accelerating quantum simulation, AI model training, or real-time decoding workloads. Experience with high-performance computing (HPC) environments and distributed training frameworks (e.g., PyTorch Distributed, Megatron-LM, or JAX pmap) for large-scale quantum AI workloads. Passion to drive AI innovations into NVIDIA software and hardware products that support the broader quantum computing ecosystem. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until May 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. N

Are you a cutting-edge AI/ML Research Scientist with a passion for innovation and a drive for excellence? Do you want to use your skills and knowledge to make a positive impact on the healthcare industry? If so, Boston Scientific may have the perfect opportunity for you. We are seeking a Principal AI/ML Research Scientist to join our dynamic team in developing groundbreaking solutions for the medical field. As a leader in the industry, we are looking for a highly skilled and motivated individual with a strong background in AI/ML research to drive our innovation forward. If you are ready to take on a challenging and rewarding role, we encourage you to apply!\n\nConduct cutting-edge research in the field of AI/ML to develop innovative solutions for the healthcare industry. Collaborate with cross-functional teams to identify and prioritize research objectives and develop strategies to achieve them. Analyze and interpret complex data sets to identify patterns and insights that can be used to improve healthcare outcomes. Design and implement experiments to validate the effectiveness of AI/ML solutions. Stay up-to-date with the latest advancements and trends in the field of AI/ML and apply them to improve existing products and develop new ones. Provide technical leadership and mentorship to junior researchers and scientists. Present research findings and proposals to stakeholders, including senior management, to gain support and drive decision-making. Develop and maintain strong partnerships with external research organizations, universities, and industry experts. Write and publish research papers and articles in relevant journals and conferences. Continuously monitor and evaluate the performance of AI/ML solutions and make recommendations for improvements. Maintain compliance with industry regulations and standards related to AI/ML research. Collaborate with product development teams to translate research findings into practical and scalable solutions. Actively participate in patent discussions and contribute to the company's intellectual property portfolio. Stay organized and manage multiple research projects simultaneously, ensuring timely delivery of results. Embrace a culture of continuous learning and proactively seek opportunities to enhance skills and knowledge in the field of AI/ML. Boston Scientific is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. ​ The Opportunity At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Senior or Principal Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will drive the development of our internal reasoning Large Language Models (LLMs) and enable it to succeed at drug discovery tasks, including biomolecular design. You will work at the intersection of engineering and research, designing and scaling large machine learning systems. In this role, you will: • Technical Leadership & Strategy: Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies. • Model Capability & Improvement: Define and execute approaches to systematically improve model performance on scientific tasks, including long-horizon reasoning and complex decision-making. • Domain Translation: Translate biological and chemical domain knowledge into machine learning objectives, training signals, and evaluation criteria, working closely with domain experts. • Scalable Systems & Engineering: Architect and improve large-scale distributed machine learning systems, ensuring robustness, efficiency, and reproducibility across training and evaluation workflows. • Research-to-Production Impact: Partner with researchers and cross-functional teams to move models from research prototypes to production-ready systems that support active discovery programs. As a Senior ML Scientist: • You are the primary driver of technical implementation for scientific reasoning, translating high-level research goals into robust training code. • You own the end-to-end integrity of large-scale training runs, from data orchestration to the development of rigorous reasoning benchmarks. • You act as a technical mentor to junior staff and interns, fostering a culture of engineering excellence and rapid experimentation. As a Principal ML Scientist: • You help define the long-term technical roadmap for scientific reasoning models, identifying new opportunities and setting priorities across initiatives. • You architect new initiatives that integrate diverse data modalities, guiding the technical direction of cross-functional projects across gRED. • You serve as a key technical authority for leadership, influencing how Genentech leverages generative AI to solve high-stakes problems in the therapeutic pipeline. Who you are • PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field. • Experience: • For Senior (SE6): 0 – 2+ years of industry or post-doc experience with a focus on deep learning. • For Principal (SE7): 5+ years of industry or post-PhD experience with a demonstrated track record of technical leadership and project ownership. • LLM Expertise: Extensive experience developing and training large-scale machine learning models, including approaches to improve domain understanding, reasoning capabilities, and model alignment. • Publication Record: A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML). • Engineering: Strong software engineering skills and experience designing and operating large-scale or high-performance machine learning systems. Preferred • Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data) is highly valued but not required. • A public portfolio of research or significant contributions to open-source ML libraries. • A passion for applying frontier AI to drug discovery. Relocation benefits are NOT available for this job posting The expected salary range for this position, based on the primary location of San Francisco, is $167,400 - 310,800 of hiring range for the Senior Scientist, and $194,000 - 360,400 for the Principal Scientist. For the primary of location of New York City, $160,100 - 297,300 for the Senior Scientist, and $185,600 - 344,600 for the Principal Scientist. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #ComputationCoE #tech4lifeComputationalScience #tech4lifeAI Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Cincinnatus LLC is looking for advanced STEM Researchers and PhD-level subject-matter experts to guide AI development. This role involves evaluating tasks produced by AI, designing rigorous domain challenges, and collaborating with research teams. Ideal candidates must have a PhD in a STEM field and at least three years of research experience. The position requires a commitment of 40 hours per week and offers W-2 employment. Join our team to work on high-impact initiatives that drive AI innovation.

DeepMind, Mountain View, CA, USA Qualifications • PhD in Computer Science, a related field, or equivalent practical experience. • One or more scientific publication submission(s) for conferences, journals, or public repositories. Preferred qualifications • 2 years of coding experience. • 1 year of experience owning and initiating research agendas. About the job Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. The US base salary range for this full‑time position is $147,000‑$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities • Author research papers to share and generate impact of research results across the team and in the research community. • Help in growing research business across teams by sharing research trends and best practices within the community. • Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed. • Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long‑term research strategy and plans to expand the impact of Google research with some guidance. • Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Staff AI Research Scientist, Applied AI, Google Cloud corporate_fare Google place Sunnyvale, CA, USA Apply • PhD degree in Computer Science, a related field, or equivalent practical experience. • 4 years of experience with research agendas across multiple teams or projects. • 2 years of experience with machine learning algorithms and tools, or Applied ML (e.g., LLM's, Generative AI, NLP, Recommendations). • One or more scientific publication submissions for conferences, journals, or public repositories (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR, etc.). Preferred qualifications: • 2 years of experience in coding and leading multiple research efforts and influencing research direction. • Experience developing and deploying AI solutions to solve large-scale problems. • Experience with the entire product development process, from initial ideation and research to prototyping, testing, and final implementation. • Ability to articulate technical concepts and influence technical directions. About the job As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The Cloud Applied AI teams goal is to support enterprises to innovate conversational AI products such as contact centers, conversational interfaces on websites, devices and mobile apps. We apply art of Artificial Intelligence/Machine Learning (AI/ML) to the conversational problems and work on building the next generation of customer service. Fitbit’s wide range of innovative products, including smartwatches, trackers, and a smart scale, help people lead healthier, more active lives by empowering them with data, inspiration, and guidance to reach their health and fitness goals. Coupled with our leading software and Fitbit Premium, our immersive platform experience delivers personalized experiences, insights, and guidance to support our users’ health and wellness. Fitbit’s mission has always been to help make everyone in the world healthier and now, as part of Google we’ll be able to make health even more accessible to everyone. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google . Responsibilities • Design, develop, and deploy scalable and agentic AI solutions for enterprise use cases across domains like finance, sales, marketing, and retail, focusing on innovation and utility, with a user-centric perspective. • Take ownership of AI quality for production systems by defining technical metrics aligned with business goals, implementing evaluation frameworks, designing experiments, analyzing loss patterns, and driving improvements through system changes or training data enhancements. • Implement, optimize, and advance AI techniques, with both training-free and training-based approaches. • Drive progress through experimentation cycles such as proposing hypotheses, designing validation methods, implementing and testing ideas, analyzing results, and iterating quickly to find optimal solutions. Provide technical leadership on projects and facilitate clarity on goals and timelines. Work with a small, experienced team of engineers, researchers, engaging in design and code reviews to foster a culture of continuous improvement. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

We are looking for a Research Scientist Chemistry (AI Trainer) to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. In this role you will need to hold an expert level of chemistry. Other related fields include, but are not limited to: Chemistry and/or Chemical Engineering. Benefits • This is a full-time or part-time REMOTE position • You’ll be able to choose which projects you want to work on • You can work on your own schedule • Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work Responsibilities • Give AI chatbots complex chemistry questions and evaluate their outputs • Evaluate the quality produced by AI models for correctness and performance Qualifications • Fluency in English (native or bilingual level) • Detail-oriented • Solid knowledge of general, organic, and physical chemistry concepts • A current, in progress, or completed Master's and/or PhD is preferred but not required Notes Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position. #chem

Research Scientist - Embodied AI Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? Transform the everyday with us! In this role you will work on-site in our Berkeley, CA office. We are looking for a Research Scientist who will advance how intelligent robotic systems perceive, act, and adapt in the physical world. In our research group, we are pioneering the next generation of embodied AI, integrating multimodal foundation models, robot learning architectures, and real-world deployment to solve manipulation, planning, and simulation challenges in industrial applications. We work in collaboration with our business units, leading academic institutions and government agencies. The Challenge: • Architect robotic foundation models and lead the design of large-scale robot learning frameworks tailored for industrial manipulation and autonomous planning • Build full-stack training pipelines for robotics applications integrating multi-modal inputs and ensuring reproducibility • Advance data collection strategies to support model training and validation • Bridge the sim-to-real gap for embodied AI systems utilizing simulation frameworks • Create scalable inference loops that combine perception with real-time motion control and on-robot deployment • Work alongside cross-functional teams to turn research prototypes into deployable robotics systems that are robust and safe • Present and communicate ideas and project results to internal and external project partners and at conferences The Candidate: Required Qualifications: • Ph.D. or M.Sc. in Computer Science, Electrical Engineering, Robotics, or similar from an accredited university • A proven track record of contributions at top-tier robotics and AI venues such as IROS, ICRA, RSS, CoRL etc • Professional-level fluency in C++ and Python • Proven experience in building and deploying machine learning models on robotic systems including training, evaluation, and integration • Deep technical knowledge of modern model architectures, specifically Transformers, VLAs/VLMs, and Diffusion Models, with experience in large-scale training • Hands-on experience implementing, debugging, and deploying software on physical robotic platforms • Solid understanding of embedded systems, hardware/software integration, and OS fundamentals • Proficiency in English both written and verbal • Legally authorized to work in the United States without corporate sponsorship now or in the future. Preferred skills & experience: • Expertise in 3D scene understanding, multimodal grounding, and sensor fusion • Familiarity with simulation environments such as Isaac Sim, Mujoco, or Gazebo, and demonstrated experience with sim-to-real transfer strategies • Working knowledge of robotics middleware (ROS/ROS2) and integration of machine learning components into real-time robotic stacks • Experience in building or adapting foundation models for embodied tasks (RFMs, VLMs/VLAs, multimodal diffusion) • Experience with cloud computing environments About Siemens: We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resourceefficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here. Our Commitment to Equity and Inclusion in our Diverse Global Workforce: We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. #LI-JS #LI-Onsite #RoboticsAI, #EmbodiedAI, #AIResearch You'll Benefit From Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $104,887 - $179,806 annually with a target incentive of 10% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, click here. Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.

Job Title: Applied AI Research Scientist Employment Type: Contract Work Mode: Remote (PST overlap required) Start Date: Immediate Contract Duration: 3–6 Months Openings: 5 Experience & Education 2+ years professional Python experience MS / PhD in: Computer Science Electrical Engineering Information Technology Data Science Or related field Commitment Required 8 hours/day Mandatory 4–6 hours overlap with PST Time window: 12 PM – 6 PM PST Collaborate with reviewers and researchers to refine evaluation quali MS or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field. Strong expertise in at least two of the following hardware- and systems-focused domains: Computer architecture (pipelines, memory hierarchies, cache coherence, ISA-level reasoning) Hardware systems and performance analysis VLSI design, digital logic, or ASIC/FPGA fundamentals Embedded systems and low-level firmware Operating systems (especially memory management, scheduling, and hardware–software interfaces) Compilers or systems programming with hardware awareness Proven experience in technical research, evaluation, or rigorous problem formulation in academic, lab, or production-oriented environments. Strong programming skills (especially Python, C or C++) for analysis, verification, and evaluation workflows. Excellent written communication skills and a strong attention to technical detail.

Mercor is seeking advanced STEM Researchers to join a leading AI lab's research team. PhD-level candidates in areas such as Physics, Chemistry, or Engineering with experience in computational modeling and data analysis are highly encouraged to apply. The role requires a commitment of 40 hours per week to guide research teams, design rigorous tasks, and evaluate AI-driven solutions. This W-2 employment position offers a unique opportunity to contribute to cutting-edge AI developments in a collaborative environment.

The Position A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. ​ The Opportunity At Roche's AI for Drug Discovery (AIDD) group, we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). In this role, you will contribute to our internal reasoning Large Language Models (LLMs) and enable it to succeed at relevant drug discovery tasks, including biomolecular design. You will work at the intersection of engineering and research, designing and scaling large machine learning systems. In this role, you will: • Scalable Systems & Engineering: Design, implement, and improve large-scale distributed machine learning systems, writing robust, performance-critical code and contributing to core infrastructure. • Model Improvement & Reasoning: Develop and execute strategies to systematically improve performance on scientific tasks, including long-horizon task completion and complex reasoning challenges. • Domain Translation: Translate biological and chemical domain knowledge into concrete machine learning objectives, training signals, and evaluation criteria. • Evaluation & Benchmarks: Design and implement evaluation methodologies to assess model capabilities relevant to biological research, working with domain experts to establish benchmarks and curate high-quality data. • Research-to-Production: Collaborate closely with researchers to translate ideas and prototypes into scalable, production-ready systems. As a Machine Learning Scientist: • Focus: You focus on the execution of defined projects. You are responsible for writing clean, efficient code to test specific hypotheses regarding reasoning and alignment. • Engineering: You contribute to the maintenance of the training infrastructure and data pipelines, ensuring experiments run reliably on our clusters. • Collaboration: You work closely with senior scientists to implement novel algorithms, translating research papers into working prototypes. Who you are • BS/MS in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with 2+ years of relevant work experience. Or Ph. D. with 0-2 years relevant work experience. • LLM Expertise: Experience developing and training large-scale machine learning models, including post-training techniques to enhance domain knowledge, reasoning capabilities, and model alignment. • Publication Record: A strong history of research excellence at top-tier venues (e.g., NeurIPS, ICLR, ICML). • Engineering: Strong software engineering skills and experience working with high-performance computing systems. Preferred • Experience with molecular modalities (e.g., protein sequences, chemical graphs, and structured molecular data). • A public portfolio of research or significant contributions to open-source ML libraries. • A passion for applying frontier AI to drug discovery. Relocation benefits are NOT available for this job posting The expected salary range for this position, based on the primary location of New York City, is $141,100 -262,100 of hiring range, and for San Francisco, $147,600 - 274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits #ComputationCoE #tech4lifeComputationalScience #tech4lifeAI Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

The Opportunity The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco. This role is ideal for researchers who stay deeply up to date with the latest AI model architectures and innovations and are motivated to push them forward in real-world creative systems. You will work alongside a world-class team of scientists and engineers to invent, evaluate, and scale next-generation audio and speech technologies—translating state-of-the-art research into products used by millions. Our lab values independent research leadership, technical excellence, and impact. We actively support publication at top venues, collaboration with academia, and rapid iteration from research insight to deployed technology. Responsibilities • Lead and execute independent research in speech generative AI, audio modeling, and multimodal learning (text and visuals), with a strong focus on modern large-scale model architectures. • Design, analyze, and advance state-of-the-art AI models and training procedures, including foundation models, representation learning, and generative systems for speech and audio. • Maintain strong technical currency with the latest developments in model architectures, optimization techniques, data scaling, and training strategies, and apply them creatively to audio and multimodal problems. • Demonstrate deep understanding of both audio signal fundamentals and machine learning, enabling principled model design and insightful experimentation. • Publish research at leading conferences and journals and pursue patent protection for impactful innovations. • Build high-quality research prototypes that demonstrate technical rigor, scalability, and clear paths to product integration. • Collaborate closely with engineering and product teams to ensure research outcomes translate into robust, real-world impact. • Provide technical mentorship and help set a high bar for research quality and engineering excellence. Requirements • Ph.D (preferred). or Master’s degree in Computer Science, Electrical Engineering, or a related field, with a strong research focus in audio, speech, and machine learning. • 3+ years of research experience in industry strongly preferred. • Proven track record of independent research contributions, such as first-author publications or equivalent leadership in research projects. • Deep expertise in audio and machine learning, including strong intuition for: • Speech and audio generation • Audio representations and modeling • Training large-scale neural models • Hands-on experience with modern AI architectures and training pipelines, and a demonstrated ability to quickly adopt and extend new techniques. • Strong Python and deep learning development skills, with attention to performance, reproducibility, and experimental rigor. • Excellent communication skills and the ability to clearly articulate complex technical ideas. • A clear appetite for real-world impact, coupled with a commitment to technical excellence and high research standards. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $164,600 -- $313,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $216,400 - $313,300 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Required Qualifications • Minimum of MS with 6+ years of experience or PhD with 3+ YoE in Computer Science, Computer Engineering, or closely related field, with exposure to cyber, networks, and machine learning. • Demonstrated understanding of cyber concepts including TTPs and the cyber lifecycle (e.g., intrusion phases, detection/response considerations) • Strong networking fundamentals: IP stack, network configuration concepts, routing/switching basics, protocol layering, and network architecture/layout • Hands-on experience with ML tooling such a PyTorch, TensorFlow, and/or scikit-learn • Strong software development skills in Python and/or C/C++ • Proficiency with Linux, Git, and Docker • Excellent oral and written communication skills (technical presentations + well-structured documentation) • Ability to work independently, manage ambiguity, and deliver tangible outputs in a research environment • US Citizenship is a requirement for this position Preferred Qualifications • Experience applying ML to cybersecurity or network analytics, such as intrusion detection, anomaly detection, malware/behavioral modeling, or cyber deception/defense concepts • Experience with network/security telemetry sources • Direct experience with transformer models, representation learning, or foundation/LLM-adjacent methods applied to cyber workflows • Familiarity with agentic workflows and safe evaluation approaches • Knowledge of adversarial ML / robustness, data poisoning considerations, model security, or operational constraints of ML in defensive environments • History of peer-reviewed publications, patents, open-source contributions, or evidence of research impact • Experience working within controlled lab/testbed environments Peraton Labs is seeking a self-motivated Cyber AI/ML Research Scientist with a strong foundation in cybersecurity technologies, computer networks, and AI/ML to help design and deliver next-generation network-based defensive capabilities. This role focuses on the research, prototyping, and evaluation of AI-enabled cyber detection and modeling of cyber phenomena using techniques such as DNNs, transformer-based models, and agentic AI-assisted approaches. You will work with a small team of research scientists to investigate challenging problems, develop novel models and software prototypes, and demonstrate performance through testbed-based evaluation. The ideal candidate thrives in an environment where they can independently drive technical work while communicating results clearly through presentations and written technical documents. Key responsibilities may include: • Conduct applied research on AI-enabled cyber defense approaches, including detection, modeling, and characterization of cyber behaviors and phenomena • Design and implement prototypes that operationalize research into usable capabilities • Develop and evaluate models using deep learning and transformer-based approaches, and explore agentic AI-assisted methods for analysis, workflow automation, and experimentation • Work with network and cyber data modalities (e.g., flow, packet, host telemetry, logs) • Build repeatable experiments and conduct rigorous evaluation in controlled testbeds, including performance measurement, ablations, and robustness testing • Work with teammates to translate customer needs into technical approaches, balancing novelty with feasibility and deployability • Produce high-quality technical documentation, briefings and presentations, and contribute to reports, proposals, whitepapers, and publications • Maintain strong system hygiene: Linux-based development, version control, containers, reproducibility, and clean software practices • Learn and integrate new tools/technologies quickly to keep pace with evolving customer needs and emerging research #PLABS26

Mercor is seeking Advanced STEM Researchers to join their cutting-edge AI lab in Greenfield, WI. This role involves guiding research teams, designing rigorous domain tasks, and evaluating solutions produced by AI agents. Candidates must hold a PhD in a relevant STEM discipline and have at least 3 years of research or industry experience. Strong written communication skills are essential, and experience with LLMs is a plus. This is a W-2 position with a commitment of 40 hours per week.

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. We are seeking a talented Senior Spatial Audio and Multimodal AI Researcher to join the Perceptual and Interactive Multimedia Computing team in the Multimodal Experiences Lab. We are a key research team within Dolby’s Advanced Technology Group, focused on creating cutting edge multimodal technologies that drive next generation experiences. We’re looking for skilled researchers who are excited to advance the state of the art in technologies of interest to Dolby as well as the human society at large, in particular, in the area of developing AI solutions for Spatial Media/XR audio content creation workflow. We welcome the opportunity to have you join our growing Atlanta Advanced Technology Research team. What You Will Accomplish * Design AI models for spatial audio content creation and audio engineering workflow * Create multimodal foundation models for XR, with audio focus. * Develop and combine deep learning methodologies with perceptually relevant signal processing and metrics. * Partner with ATG researchers, develop solutions for the relevant applications. What you need to succeed Competencies: * Technical depth: Necessary technical knowledge to create new AI algorithms and multimodal models with an audio focus. Solid knowledge of Audio, ML and AI fundamentals. * Explore new technologies: Openness to learn new skills, work with cutting-edge technologies, and innovate in new areas. * Invent & Innovate: Develop know-how, algorithms and software tools with both a short and long-term focus that further strengthen Dolby as a world leader for sight and sound experiences associated with digital content consumption. Then influence and collaborate with business group partners putting the technology into production. * Work with a sense of Urgency: Respond aggressively to changing trends and new technologies and creates new algorithms to capitalize on them. Take appropriate risks to be ahead of the competition and the market. * Collaborate: Collaborate with and influence peers in developing industry-leading technologies. Work with external trendsetters and technology drivers in academia and in partner enterprises. Desired Background: * PhD in Computer Science, Electrical and Computer Engineering, or similar fields * Proven ability to pursue new areas of multimodal research for Audio, AI, and signal analysis, and demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences * High comfort level in creating Algorithms in Python * Solid knowledge on audio signal analysis, spatial analysis, creation, and generation * Solid knowledge on AI/ML, e.g. large language model and generative AI * Familiarity with deep learning frameworks, e.g., TensorFlow, PyTorch, etc.. * You have effective problem-solving, partnership,communication and presentation skills Learn more about our innovative research: https://www.dolby.com/about/innovation/empowering/ The Atlanta Area base salary range for this full-time position is $140,000-$170,000, which can vary if outside this location, plus bonus, benefits, and some roles may also include equity. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, market demands, internal parity, and relevant education or training. Your recruiter can share more about the specific salary range and perks and benefits for your location during the hiring process. Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12 Equal Employment Opportunity: Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.

Environmental Research & Sustainability - AI Training About Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Environmental Researchers and Sustainability Experts to join our Expert Network to help train and evaluate cutting-edge AI models using real-world ecological and climate expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills typically pay up to $45–$90 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Environmental Science, Ecology, Climate Science, Environmental Engineering, or a related field. • Professional Experience: experience in environmental impact assessment (EIA), climate modeling, conservation research, or corporate sustainability reporting (ESG). • Domain Knowledge: deep understanding of carbon accounting, biodiversity metrics, renewable energy systems, or environmental policy. • Analytical Precision: the ability to identify errors in climate data interpretations, carbon footprint calculations, or ecological taxonomies. • Geospatial & Statistical Literacy: proficiency in interpreting GIS data, satellite imagery, and longitudinal environmental datasets. • Communication: ability to synthesize complex environmental regulations or scientific findings into clear, actionable, and technically accurate summaries. • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate AI-Generated Research: review model responses to queries about climate change, ecosystem services, and resource management for scientific accuracy and nuance. • Fact-Check Environmental Claims: validate AI-generated data regarding emissions factors, legislative requirements, and environmental protection standards. • Assess Sustainability Logic: Critique AI-proposed solutions for waste reduction, supply chain sustainability, and habitat restoration for practical and scientific feasibility. • Annotate Geospatial & Technical Data: identify and correct errors in model-generated maps, environmental risk assessments, and species distribution models. • Ensure Policy Alignment: verify that AI responses align with the latest international environmental standards and scientific consensus (e.g., IPCC reports). Why Prolific is a great platform to join as a Participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

AI Research Jobs in the United States (Remote, Full-Time) You will run applied AI research projects for US-based customers via Rex.zone, translating open-ended research questions into measurable experiments across LLM evaluation, RLHF data design, prompt evaluation, and model performance improvement. What You Will Do Own end-to-end applied research cycles: problem framing, baselines, ablations, and reporting Build and evaluate LLM systems using offline metrics and human-in-the-loop evaluation Design RLHF workflows: preference data specs, rater instructions, prompt sets, and rubric-based grading Create evaluation datasets and test suites: prompt evaluation, red-teaming prompts, and content safety labeling protocols Collaborate with data labeling teams on taxonomy, edge-case coverage, and training data quality Perform error analysis and model debugging to improve robustness, safety, and helpfulness Document methodology and results for reproducibility and auditability Required Qualifications Mid-Senior experience delivering applied ML research or productionized ML evaluation Strong Python skills; experience with PyTorch (or similar) Hands-on LLM evaluation, prompt evaluation, or RLHF experience Experiment design, metrics selection, and statistically sound interpretation Familiarity with dataset development: data labeling, QA evaluation, and guideline compliance checks Strong written communication for research artifacts and cross-functional alignment Preferred Qualifications RAG/NER/structured output evaluation experience Exposure to computer vision or multimodal evaluation Content safety labeling taxonomies and policy-aligned rubrics MLOps for evaluation pipelines, dataset versioning, and reproducible runs Remote Work and Collaboration Remote, FULL_TIME role supporting United States-based projects with distributed teams across research, engineering, and data operations. Compensation Hourly base pay range: $30–$50/hr.

Mercor is seeking advanced STEM Researchers to join a leading AI lab's research team. This role requires a PhD and involves guiding teams to tackle complex problems in STEM domains. You will evaluate solutions produced by AI agents, develop rigorous domain tasks, and collaborate with experts to enhance training data accuracy. This is a W-2 position with a commitment of 40 hours per week, offering a chance to contribute to groundbreaking AI projects focused on scientific reasoning and analysis.

A leading data annotation company is seeking a Research Scientist Chemistry to train AI models. The role requires expertise in chemistry to evaluate AI chatbot responses and improve model quality. The position is remote, offering flexibility to work on chosen projects, with pay starting at $40 per hour. Candidates with a Master's or PhD in Chemistry or related fields are preferred but not required. Only applicants located in the United States will be considered.

Overview C-4 Analytics is evolving into an AI-forward company by both transforming its core systems and building new capabilities that redefine how we deliver value. This role focuses on what’s next. We’re hiring a Product Manager to explore, prototype, and build new product capabilities…using AI and modern tooling to unlock new ways of working across marketing, data, and operations. This is a builder’s role. You’ll move quickly from idea → prototype → validation, helping determine what’s worth scaling into real products. You won’t just define ideas—you’ll bring them to life and prove their value. • *Note** • Top candidates may be considered for either Product Manager role we have posted based on strengths and experience. • At C-4 Analytics, ideas proven in new product development are scaled and operationalized across our core systems—connecting both roles as part of a unified product strategy. What You’ll Own • Identify and develop new product opportunities across marketing, data, and AI-enabled workflows • Build prototypes and working demos to validate ideas quickly • Run experiments to determine what’s worth scaling—and what to stop • Translate emerging capabilities (AI, automation, data) into practical product opportunities • Partner with engineering to evolve validated ideas into production-ready solutions • Stay close to internal users and clients to identify high-leverage opportunities What Success Looks Like • New ideas are validated quickly (weeks, not months) • Prototypes lead to real product investments • AI is used to unlock new capabilities—not just optimize existing ones • Clear pipeline of new product opportunities tied to business value What You BringBuilder Mindset • You don’t wait for perfect specs—you build to learn • Comfortable creating prototypes, demos, or lightweight solutions Product Thinking • Ability to connect ideas to real business value • Strong instincts for what’s worth pursuing vs. killing early AI Fluency (Practical) • Experience working with modern AI tools (LLMs, APIs, automation) • Understand how to apply AI to real problems—not just experiments Speed + Judgment • You move quickly, but with intention • You know when to explore vs. commit Nice to Have • Experience building 0→1 products or features • Background in marketing, content systems, or data-driven platforms Compensation: We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $92,500.00 - $120,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise. Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process. Working at C-4 Analytics We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details. What our Employees Say: Want to know what makes working at C-4 Analytics so rewarding? Take it from the true experts: our current teammates. Recent surveys about our workplace and culture suggest that our staff loves: • The People: It's not just a cliché; we have the best, hungriest and smartest team in the business. • The Culture: Teamwork. Camaraderie. Perseverance. We hire for these traits, and it shows. • The Growth: We place a real emphasis on training, development and career planning. • The Trust: Our managers empower their people and teams to thrive in their own ways. • The Challenge: We work in a competitive industry and a dynamic field. You'll never be bored! In-Office Perks • Accelerated Growth via Osmosis and Coaching: Learn sales strategies and industry knowledge naturally by hearing colleagues handle calls and receive instant feedback and hands-on guidance from your manager and colleagues during in-person weekly one-on-ones. • Boosted Visibility and Networking: Build strong connections with your team, leaders, and mentors, increasing your visibility within the organization, which can lead to more opportunities for career advancement. • Soft Skills Mastery: Develop crucial soft skills in a group setting, such as communication, problem-solving, and teamwork, which are essential for long-term professional success. • Knowledge Transfer and Expertise: Benefit from informal knowledge sharing and mentorship, ensuring constant access to the information and guidance needed to become an expert in the automotive world. • Spark Innovation and Collaboration: Physical proximity facilitates spontaneous discussions and brainstorming sessions that spark innovative and creative solutions to problems. • Enjoy Daily Perks and Wellness: Fuel your day with cold brew on tap, free beverages, and a stocked snack pantry. Additionally, enjoy free weekly lunch and monthly wellness events like Yoga and Paint & Sip. • Structured Work-Life Balance: Our Monday through Friday, 9:00 am to 5:30 pm schedule helps you separate work from home, reducing the risk of burnout. More About C-4 Analytics C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate and instigate. We are forward-thinking, but we learn from the past. We are results-driven and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.

Senior Product Manager, AI (Eastern Time Zone Remote, United States) 5 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from M-Files Talent Acquisition Dual HR Certified (SHRM-CP, PHR) | Skilled and Passionate About Recruitment Optimization, Employer Branding, and Coaching Who we are M-Files is redefining how work gets done. Our AI-native document management system offers purpose-built business use cases, spanning universal and industry-specific workflows, to enable secure collaboration, automate processes, and ensure governance. Unlike traditional systems, M-Files organizes content around the context of your business, connecting documents to related people, projects, and transactions. With our unique metadata-driven architecture, organizations can model content in line with their business processes, unify information across silos, and apply AI at scale. The result is greater productivity, reduced risk, and smarter, faster decisions for over 6,000 customers in 100+ countries. At M-Files, our Guiding Principles are the DNA of who we are. They unite us across diverse cultures and personalities, providing a shared foundation that builds trust, drives collaboration, and inspires excellence: Make It Happen - We set bold goals, take ownership, learn from mistakes, and relentlessly pursue results Help Others - We lead with kindness, assume good intentions, hold one another accountable, and celebrate wins together Love Customers - We put customers and partners at the heart of everything, delivering value with respect, fairness, and speed To learn more about us we encourage you to visit our company page . To learn more about how we became a Certified Great Place to Work visit, Working at M-Files | Great Place to Work . Summary of the role We are seeking a strategic and technically savvy Senior AI Product Manager to lead the development and evolution of AI-powered capabilities within the M-Files platform. This role will be instrumental in shaping how our customers interact with and derive value from their information. Your leadership will be critical in realizing our innovative vision to deliver best-in-class AI-powered products. What you will be doing / Responsibilities and Duties Defining and driving the AI product strategy aligned with M-Files' vision and customer needs Leading cross-functional teams (engineering, design, marketing, and sales) to deliver AI features that enhance user experience and business outcomes Owning the roadmap for AI capabilities such as intelligent metadata extraction, semantic search, document classification, and generative AI integrations Translating customer pain points and market trends into actionable product requirements Collaborating with engineering to ensure reliable and scalable AI solutions Monitoring performance of AI features and continuously optimize based on user feedback and data Evangelizing AI capabilities internally and externally, including customer presentations, webinars, and thought leadership Who You Are / Requirements, Qualifications and Skills 7+ years of product management experience, with at least 3 years focused on AI/ML products Deep domain expertise in AI, including a proven track record of assessing market opportunities and defining product strategies specifically for generative AI-powered solutions. Proven success in bringing AI products from concept to market in an enterprise SaaS environment Experience defining and tracking key metrics for generative AI products, demonstrating a clear understanding of their business impact and value proposition Excellent communication and storytelling skills, with the ability to align cross-functional stakeholders and inspire customers Ability to balance strategic thinking with hands-on execution Preferred Qualifications Technical background (e.g., Computer Science, Engineering, Data Science) Experience with AI compliance, ethics, and responsible AI practices Familiarity with information management, content services, or related enterprise software is a plus Demonstrated thought leadership in AI/ML domain Participation in our Recruitment Process Hiring Manager (Director, Cloud Development - Finland) Senior Director, Product Management Possible Additional Team Members Chief Product Officer Total Recruitment Process Time Investment for Applicant: 4hrs Why You\'ll Enjoy Working Here Innovate with Purpose: Be at the forefront of AI-native product development, shaping how thousands of global organizations transform knowledge work and harness the power of intelligent automation Global Reach, Human Touch: Join a diverse, international team united by curiosity and collaboration, where every idea is valued, and innovation thrives through shared learning Impact You Can See: Your work will directly influence how customers find, manage, and leverage information, driving measurable business outcom

JOB LEVEL P50EMPLOYEE ROLE Individual Contributor The Research and AI team builds generative AI models and applications for Adobe products, enabling customers to ideate, build, and scale content in new ways. We are looking for a Principal Product Manager to lead Enterprise-focused generative AI across imaging, video, and audio! This role is responsible for setting the strategy, planning implementation, and coordinating the ongoing delivery of multimodal model capabilities that enable on-brand content production at scale. Working alongside world-class researchers dedicated to advancing the field, you will convert modern multimodal research into practical, high-quality solutions. This includes customization strategies such as brand adaptation and fine-tuning approaches. You will ensure model capabilities match customer workflow needs, quality standards, governance requirements, and business goals. The ideal candidate focuses intently on customers, confidently engaging personally with Enterprise clients, and adeptly integrate information from research, engineering, market conditions, and customer feedback into practical priorities. They work well amid uncertainty, act swiftly, and uphold a high standard for creative quality across various modalities. What you'll do: • Collaborate with Enterprise teams and leadership to establish a vision while guiding roadmap creation and prioritization • Set strategy, plan implementation, and coordinate day-to-day execution of multimodal generative model capabilities • Interact directly with Enterprise customers to grasp workflows, governance constraints, and quality standards • Collaborate closely with research and engineering to convert innovation into production-ready Enterprise solutions • Provide a sharp quality eye in day-to-day model feedback while building scalable evaluation frameworks for performance and brand consistency • Establish a clear approach for first-party development versus third-party integrations based on the market landscape • Translate complex technical capabilities into clear product requirements, evaluation criteria, and measurable success metrics What you'll need to succeed: • Bachelor’s degree in computer science, engineering, or equivalent experience • 7+ years of product management experience • High standards for generative quality, with excellent discernment on the details that determine whether outputs meet Enterprise production standards • Experience building or scaling AI or ML-powered products in Enterprise or creative production contexts • Experience owning fine-tuning and model adaptation strategies end-to-end, from data sourcing through performance evaluation • Deep user orientation with demonstrated experience synthesizing direct customer input into product direction • Solid understanding of the generative AI market landscape and competitive dynamics • Strong ability to work collaboratively across research, engineering, and Enterprise partners Bonus Qualifications: • Experience with generative AI • Experience building tools for creatives and designers Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $148,100 -- $282,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.‌ In California, the pay range for this position is $194,800 - $282,100 │ In New York, the pay range for this position is $194,800 - $282,100 │ In Washington, the pay range for this position is $178,600 - $258,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these tips to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll. Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Job Description: Job Description Summary This Principal Product Manager – AI Solutions role is a hands-on, individual contributor position that creates and delivers AI-first product capabilities for Vertex customers by translating ambiguous problems into clear hypotheses, product requirements, and roadmap priorities. The role partners closely with tax domain subject matter experts (SMEs), engineering, UX, go-to-market, and customer success to ship production-ready AI that is trusted and compliant, integrates into workflows, and demonstrates value through evaluation, monitoring, and performance metrics. This role is not a tax SME; it is an innovation and product leadership role that identifies opportunities, prototypes solutions, and scales what works. Required Qualifications Seeking a minimum of six (6) years of relevant product management experience. Principal-level success includes owning multi-quarter roadmaps, aligning cross-org stakeholders, and leading complex, cross-functional initiatives from ambiguous problem definition through 0→1 discovery, launch, rapid iteration, and scaled releases with measurable customer and business outcomes. 2+ years of direct AI experience (e.g., system design and/or development). Experience to define AI product requirements beyond feature scope, encompassing data strategy, learning signals, feedback loops, and measurable success criteria. Strong command of AI product quality and reliability, including how drift, regressions, and performance tradeoffs affect user trust and adoption. Excellent product leadership fundamentals, including systems-level thinking, executive communication, and the ability to lead through influence in complex, matrixed organizations. Set and own standards for AI product effectiveness, including success metrics, monitoring, and continuous improvement across quality, reliability, usage, cost, and performance. AI fluency (required): able to prototype, evaluate, and operationalize AI-first capabilities in partnership with engineering and SMEs. Define features and capabilities by creating lightweight prototypes; translate AI capabilities and constraints into clear product requirements. Lead evaluation, tuning, and training in partnership with engineering and SMEs, including defining evaluation criteria and interpreting results. Refine requirements, UX behaviors, acceptance criteria, and release readiness decisions by connecting evolving AI capabilities to customer problems. Apply responsible AI principles (traceability, privacy, security, bias awareness, transparency, auditability) within owned features and capabilities. Maintain working fluency in modern AI/ML concepts (LLM-based solutions, agents, data pipelines) and use that fluency to experiment directly for faster product discovery and prototyping. Preferred Qualifications Bachelor’s degree in engineering, business, or a related field, or equivalent combination of education, training, and relevant professional experience. Experience identifying cross-product innovation opportunities and driving roadmap alignment through APIs, integrations, and shared platform capabilities. Experience mentoring or coaching junior product owners on AI fluency and product development practices. Other Qualifications The Winning Way behaviors that all Vertex employees need in order to meet the expectations of each other, our customers, and our partners. • Communicate with Clarity - Be clear, concise and actionable. Be relentlessly constructive. Seek and provide meaningful feedback. • Act with Urgency - Adopt an agile mentality - frequent iterations, improved speed, resilience. 80/20 rule – better is the enemy of done. Don’t spend hours when minutes are enough. • Work with Purpose - Exhibit a “We Can” mindset. Results outweigh effort. Everyone understands how their role contributes. Set aside personal objectives for team results. • Drive to Decision - Cut the swirl with defined deadlines and decision points. Be clear on individual accountability and decision authority. Guided by a commitment to and accountability for customer outcomes. • Own the Outcome - Defined milestones, commitments and intended results. Assess your work in context, if you’re unsure, ask. Demonstrate unwavering support for decisions. COMMENTS: The above statements are intended to describe the general nature and level of work being performed by individuals in this position. Other functions may be assigned, and management retains the right to add or change the duties at any time. Pay Transparency Statement: US Base Salary Range: $189,600.00 - $246,400.00 Base pay offered to new hires may vary based upon factors including relevant industry and job-related skills and experience, geographic location, and business needs.* The range displayed does not encompass the full potential of the role, which allows for further growth and career progression. In addition, as a part of our total compensation package, this role may be eligible for the Vertex Bonus Plan (VOB), a role-specific sales commission/bonus, and/or equity grants. Learn more about Life at Vertex and connect with your recruiter for more details regarding Vertex's compensation and benefit programs. *In no case will your pay fall below applicable local minimum wage requirements. Join our Talent Community to stay updated on the latest job opportunities, news, and events tailored to your career interests. Vertex is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you'd like to view a copy of the company's affirmative action plan, please email AskHR@vertexinc.com. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact 610-640-4200 or AskHR@vertexinc.com. This telephone line and email address is reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not call about the status of your job application if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a response.

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together. We are transforming the healthcare experience by harnessing the power of AI to deliver simpler, more effective solutions for members, advocates, and brokers. The Lead Product Manager, AI Value Realization & Disruptive Innovation is a strategic, data-driven leader who serves as the enterprise’s “opportunity scout” and value architect—using advanced analytics, market intelligence, and business acumen to surface and size the next wave of high-impact AI investments. In this role, you are the architect of value for disruptive AI. You partner with product leaders across portfolios to uncover, validate, and prioritize breakthrough opportunities, leveraging enterprise data—operational metrics, member and advocate feedback, financial performance, and market trends—to identify where AI can deliver measurable outcomes. Your work shapes not only what we build, but why we build it, ensuring every initiative is grounded in a compelling, defensible value story. You lead the development of robust value frameworks and benefit realization models, authoring actionable, evidence-based cost-benefit analyses (CBAs) and investment cases that withstand executive and financial scrutiny. Your analyses connect technical feasibility, operational impact, member experience, and financial return—empowering leaders to make confident, data-driven decisions about where to invest and how to measure success. Accountability is central to this role. You design and publish transparent dashboards, track KPIs and OKRs, and conduct post-launch analyses to ensure every AI initiative delivers on its promise. You drive the decommissioning of legacy tools, quantify savings and reinvestment opportunities, and ensure capital is concentrated on the most accretive solutions. Collaboration is at the heart of your impact. You work hand-in-hand with Product, Delivery, UX, Data Science, and Engineering teams to translate disruptive opportunities into actionable roadmaps and successful launches. You coach teams on value storytelling, helping them articulate the “why” behind their initiatives and connect technical decisions to frontline and member impact. You are also a strategic advisor to senior leadership, providing clear, actionable recommendations that shape the enterprise AI portfolio. Your ability to synthesize complex data into persuasive narratives ensures that innovation is always aligned with business priorities and member needs. You anticipate market shifts, regulatory changes, and emerging technologies, ensuring our company’s AI investments remain future-ready and resilient. In a fast-moving environment, your ability to balance analytical rigor with practical judgment is essential. You bring operational empathy to every analysis, ensuring recommendations are grounded in the realities of care delivery and member needs. Your leadership helps UnitedHealthcare stay ahead of industry disruption, accelerate time-to-value, and deliver intelligent, personalized care experiences that make a measurable difference for our members and the enterprise. You’ll enjoy the flexibility to work remotely* from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: • Use enterprise data to discover and size disruptive AI opportunities; quantify addressable value, feasibility, risk, and time-to-value • Author rigorous, decision-grade cost-benefit analyses (CBAs) and investment memoranda; recommend stage-gated funding and clear “go/hold” criteria • Define OKRs/KPIs and benefit realization logic; build transparent dashboards linking investment to outcomes • Partner with Product, Delivery, UX, Data Science, and Engineering to turn opportunities into test-first pilots; set guardrails for safety, privacy, and compliance • Lead post-production monitoring, root-cause analysis, and optimization backlogs; document lessons learned and value deltas against CBAs • Identify redundant tools and legacy workflows; quantify decommission savings and reinvestment opportunities • Coach product leaders to articulate the “why” behind initiatives; craft concise, executive-ready narratives and visuals Measures of Success: • Percentage of opportunities funded based on your CBAs; audit-ready documentation of assumptions and value logic • Realized outcomes vs. approved business cases (AHT, containment, NPS, medical cost, decommission savings) • Cycle time from opportunity identification to pilot to scale; reduction in rework and post-production defects • Capital concentration in high-ROI skills; decrease in redundant tools and maintenance spend • Executive and product leader satisfaction with clarity, rigor, and usefulness of your analyses and dashboards Competencies & Best Practices: • Outcome Orientation: Moves from signal to impact with disciplined execution • Analytical Rigor & Judgment: Builds decision-grade models with transparent assumptions; balances quantitative precision with operational practicality • Systems Thinking: Connects clinical, operational, and data signals; understands upstream/downstream process impacts • Change Leadership in a Matrix: Influences without authority, breaks down silos, and builds shared ownership across cross-functional teams • Operational Empathy: Designs recommendations that work for frontline realities and strengthen member trust • Executive Storytelling: Communicates complex trade-offs simply; presents clear “invest-or-pause” choices with scenario outcomes and risk mitigations You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: • 7+ years of experience in product strategy, value management, operations analytics, or finance roles supporting AI/ML-enabled digital products • Experience designing and running pilots with safety, privacy, and compliance guardrails • Demonstrated success writing defensible, actionable CBAs and investment cases with high financial acumen (including NPV/IRR, sensitivity analysis, and scenario planning) • Proficiency in KPI/OKR design and benefit realization; ability to build dashboards and narratives that tie investment to outcomes • Exceptional communication and executive-facing storytelling skills • High comfort operating in a matrix, partnering with Product, Engineering, UX, Data Science, Legal, Compliance, and Security • Comfort and willingness to travel up to 25% domestically Preferred Qualifications: • Healthcare operations, retail or ecommerce operations, or contact center transformation experience • Experience building decommission roadmaps and quantifying savings for reinvestment • Hands-on familiarity with experimentation platforms, feature flagging, and in-product analytics • Exposure to semantic layer design, personalization frameworks, and agent orchestration • All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

The application window is expected to close on: 06/13/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Senior Staff Product Manager - Splunk AI Foundations Splunk is looking for a Principal Product Manager to join our AI Foundations Team! We are building the core models and tools that power our entire product portfolio for global customers. In this role, you will help define the roadmap for high-scale AI, focusing on domain-specific models, agentic protocols, and orchestration platforms. Meet the Team: The Splunk AI Foundations team is a high-impact group dedicated to delivering Gen AI and ML-based solutions that enhance Cisco and Splunk products. We function as the core engine for AI innovation, enabling builders to deploy AI at scale while maintaining rigorous security, governance, and observability. Our team is a diverse group of experts and engineers who thrive in a fast-paced, collaborative, and innovation-driven environment. We are excited to be at the forefront of AI-native digital resilience, solving complex challenges that bridge the gap between raw data and intelligent, agentic workflows. Our work is essential to the larger vision of powering the future of secure, automated infrastructure. Your Impact: As the Senior Staff Product Manager, you will serve as the architect of the "AI Development Factory," a unified platform that empowers builders to ingest data, curate training sets, and deploy enterprise-grade AI models. You will define the strategic roadmap for end-to-end AI/ML lifecycles, ensuring our tools provide seamless, secure, and performant model development. You will drive the integration of robust governance and guardrails to control model behavior and ensure compliance with security policies. Additionally, you will build and scale platform observability layers to allow users to trace performance and debug complex multi-step workflows. Your success will be measured by your ability to bridge the gap between raw data lakes and production-grade AI, ultimately shipping a world-class platform to our global customers. Minimum Qualifications: • Bachelor’s degree plus 12 years of related experience, or Master’s degree plus 8 years, or PhD plus 5 years in Product Management with a focus on AI/ML platform products. • Demonstrated experience in the AI/ML lifecycle, including model fine-tuning (SFT/RLHF), orchestration architectures, and data ingestion pipelines (ETL/ELT). • Experience implementing security protocols, compliance frameworks, and guardrails within AI or software development platforms. • Proven experience in building or managing observability tools, tracing, or monitoring systems for distributed systems or ML models. • Proficiency in SQL and Python for data analysis and managing large-scale data flows into AI-ready formats. Preferred Qualifications: • Advanced degree (Master's or Ph.D.) in a quantitative field or an MBA. • Hands-on experience with the model and agent development lifecycle (e.g., PyTorch, Hugging Face, LangChain, LlamaIndex). • Knowledge of MLOps and LLMOps principles within networking or cybersecurity. • Experience building ecosystems, APIs, or SDKs for enterprise-grade AI platforms. • Proven ability to drive adoption for builder-centric products and scale AI solutions from concept to market. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $191,400.00 to $281,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies: • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next • Additional paid time away may be requested to deal with critical or emergency issues for family members • Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: • .75% of incentive target for each 1% of revenue attainment up to 50% of quota; • 1.5% of incentive target for each 1% of attainment between 50% and 75%; • 1% of incentive target for each 1% of attainment between 75% and 100%; and • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $191,400.00 - $323,600.00 Non-Metro New York state & Washington state: $176,100.00 - $287,900.00 * For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Lead AI Product Manager with Retirement & Wealth Domain Boston, MA or Windsor, CT We need candidate to work onsite from Day 1 (Onsite Hybrid) Responsibilities: • Product Strategy & Roadmap • Discovery & Specification • Execution & Delivery • Stakeholder Alignment Experience 8+ years of product management experience, with at least 4 years in AI/ML product roles at a technology company, fintech, or financial services firm. Demonstrated track record of shipping AI-powered products to production - owning the full lifecycle from discovery through measurable adoption. Lead or principal-level experience: defined product strategy and roadmap independently, not just executed against someone else's vision. Prior ownership of products in a regulated environment (financial services, healthcare, or similar); experience navigating compliance and legal review as part of the standard product process. Experience influencing VP-and-above stakeholders without direct authority. AI & Technical Fluency - Required and Evaluated Evaluated rigorously. Candidates should expect to demonstrate these in the interview process, not just claim them on a resume. LLM product experience: shipped at least one production feature using large language models (OpenAI GPT-4o, Anthropic Claude, Google Gemini, or equivalent); understands prompt engineering, system prompt design, context window management, and structured output extraction. RAG architecture fluency: can evaluate the quality of a RAG pipeline - chunking strategy, embedding model selection, retrieval precision/recall trade-offs, re-ranking logic, and hallucination mitigation. Does not need to implement but must be able to interrogate. Agentic AI product design: has designed or shipped features using agentic workflows (tool use, multi-step reasoning, agent orchestration via LangChain, LangGraph, Vertex AI Agent Builder, Copilot Studio, or equivalent); understands where agents fail and how those failures affect fiduciary use cases specifically. Model evaluation and metrics: can define evaluation frameworks for AI outputs; understands precision/recall, ROC-AUC, hallucination rates, and task-specific quality metrics; able to review an LLM eval suite and assess whether it covers the right failure modes for a retirement context. Data fluency: comfortable interrogating SQL, reviewing data pipeline design, and forming hypotheses from participant behavioral data without requiring a data analyst to translate. AI tooling in practice: uses AI coding assistants (GitHub Copilot, Claude Code, Cursor, or equivalent) and agentic tools daily - this team builds with these tools, not about them. API and system awareness: can read a technical architecture diagram, understand latency/reliability constraints, and write specs that account for engineering realities including model serving costs and token limits. Experimentation: A/B test design, cohort analysis, statistical significance, and shadow deployment patterns for AI features in production. Retirement & Wealth Domain- Mandatory Required • Defined Contribution Plans: 401(k), 403(b), 457 mechanics; contribution limits and catch-up provisions; employer match and vesting design; recordkeeper/TPA/plan sponsor ecosystem; QDIA rules; plan document fundamentals. • ERISA & Fiduciary Standards: ERISA prudence and loyalty requirements; functional fiduciary standard and prohibited transactions; how AI-generated outputs must be structured to support - not replace - fiduciary decision-making; DOL guidance on AI use in retirement plan contexts. • 2026 Regulatory Landscape: SECURE 2.0 provisions (auto-enrollment, RMD changes, catch-up rules); the April 2026 interagency model risk management guidance superseding SR 11-7 - including its principles-based approach to materiality tiering and proportional controls for AI and agentic systems; evolving DOL fiduciary rule. • Participant Behavior & Retirement Readiness: Behavioral finance drivers of savings inertia; retirement income adequacy frameworks; auto-enrollment and escalation research; decumulation and guaranteed income strategies (relevant to SECURE 2.0 lifetime income provisions). • Investment Products: Target-date fund construction and glide paths; managed account structures and fee models; model portfolio construction; how investment advice flows to participants in a qualified plan context. • Advisor & Plan Sponsor Dynamics: Advisor business models (RIA, broker-dealer, captive); plan sponsor decision-making and governance committee structures; competitive recordkeeper landscape; how AI advisor copilots are being deployed at Morgan Stanley, JPMorgan, and peer firms. PREFERRED QUALIFICATIONS CFP

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Location: Los Gatos, CA, Los Angeles, CA, or Remote (within North America). Regular travel to Los Gatos and Los Angeles is required. The Team The Content Platform Operations & Publishing (CPOP) team sits at the intersection of AI and machine learning, the consumer experience and the Netflix Studio. We are an integral part of making the Netflix experience feel personal and relevant by developing innovative approaches to how we promote, localize, and distribute our content. Our products impact both our members and the content creators, linguists, editors and executives who make our shows and films possible. We are seeking a Product Manager with strong understanding of machine learning and passion for AI innovation and technology to lead strategic initiatives that will transform our internal tools and content operations. In this role, you will: * Drive the integration of state-of-the-art AI and machine learning models into our content platform and publishing tools enabling hyper-personalized and contextually relevant experiences for global audiences. * Collaborate with cross-functional teams to develop intelligent systems that automate and optimize the creation of high-quality promotional assets, supporting our rapidly expanding content catalog. * Identify and implement novel AI-driven solutions to complex challenges in content distribution, asset management, and language experiences, ensuring our platform remains at the cutting edge of entertainment technology. * Partner with researchers, engineers, and stakeholders to translate the latest advancements in AI into scalable, user-centric products that empower both Netflix members and our creative partners. If you thrive at the intersection of AI technology and entertainment, and are excited to shape the future of content operations through innovation, we’d love to hear from you! Responsibilities include: * Build strategic roadmaps, taking product concepts from idea through validation, shipping, measurement, and iteration. You will author strategy memos and presentations to represent your team's work to senior executives. * Lead the incubation and system design of new Machine Learning or AI capabilities, from idea to production in partnership with applied researchers, data scientists, and engineers, and integrating these capabilities into our suite of tools. * Discover new needs that artists, creators and content executives have, distilling their needs into product roadmaps and delivering solutions that drive real business impact. * Communicate your vision and strategy broadly throughout the organization, presenting technical and complex information to non-technical audiences. * Use exceptional analytical and ML/AI evaluation skills and a rigorous, hypothesis-driven approach to inform priorities, build business cases, and measure impact. What We’re Looking For While no candidate will check every box, we are looking for a senior Product Manager with a proven track record of success. * 8+ years of product management experience with a proven record of prioritizing and successfully launching impactful products or platforms. * Intermediate or advanced knowledge of Machine Learning techniques and evaluation best practices * Ability to mobilize an entire organization toward a common goal and build strong relationships across functions and geographies. * Previous experience in leading end-to-end products that incorporate Machine Learning and AI focused solutions (i.e. agentic AI), including experience launching AI-enabled products and perfecting/customizing underlying models. * Previous experience with the ML lifecycle (data collection and labeling, model evaluation, etc.). * Applied experience using data to inform priorities and evaluate impact. * Excellent written and verbal communication skills. * Experience building products for creative teams, internal partners, or B2B enterprise clients. * Experience with media supply chains, localization, or translation is a plus. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $440,000.00 - $725,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

The Opportunity Adobe Firefly Enterprise is redefining how global brands create, scale, and govern content through generative AI. We are building a customer-embedded product innovation engine – one that rapidly prototypes, validates, and scales generative AI workflows with the world’s most influential brands. As a Forward Deployed AI Product Manager, you will partner directly with Fortune 500 creative, marketing, and content teams to uncover high-value co-innovation opportunities, design 0→1 GenAI solutions, validate real-world feasibility, and translate customer insights into product strategy. This hybrid role combines AI product strategy, rapid experimentation, customer discovery, and hands-on collaboration with engineering. You will move seamlessly between creative ideation, technical feasibility, real-world business value, and iterative product refinement. You will play a critical role in shaping the future of Firefly Enterprise. What You’ll Do Customer-Embedded Product Discovery • Lead discovery with enterprise customers to understand creative workflows, content ops challenges, and GenAI opportunities. • Identify high-value use cases through structured problem framing, journey mapping, and experimentation planning. • Translate ambiguous customer needs into clear hypotheses, success metrics, and value propositions. 0→1 Product Innovation • Partner with Forward Deployed Engineers to design and deliver rapid prototypes, proofs-of-concept, and early-stage GenAI apps. • Develop user flows, prompts, and interaction models for Firefly-based creative automation workflows. • Validate product-market fit by running iterative test cycles with real campaigns and creative pipelines. Solution Accelerators & Roadmap Influence • Convert discovery insights and working prototypes into product requirements, PRDs, and roadmap recommendations for the core Adobe Product team. • Identify common patterns and needs across customers to inform platform investments and Solution Accelerators. • Act as a bridge between customers and Adobe’s Product, Engineering, and Research teams. Strategic Communication & Value Narrative • Present findings and recommendations to C-level stakeholders, both customer and internal. • Build clear, compelling narratives around GenAI opportunity spaces, results, and future direction. • Influence roadmap decisions through quantified insights, adoption data, and value realization metrics. Cross-Functional Leadership • Partner closely with AI Engagement Managers, Forward Deployed Engineers, Product, and Engineering. • Ensure customers experience clarity, speed, and consistent communication throughout their innovation journey. • Drive alignment between customer value and Adobe’s long-term product vision. What You Bring Required • 7+ years in Product Management, Applied AI, Innovation, or adjacent hybrid roles. • Experience launching AI/LLM-powered products or 0→1 features. • Ability to translate enterprise challenges into actionable product direction. • Comfort working in highly ambiguous, fast-paced customer environments. • Strong storytelling, executive communication, and structured thinking. • Familiarity with creative workflows, content automation, or marketing tech. Preferred • Experience in Forward Deployed, Solutions PM, or Field PM roles. • Background in AI consulting, innovation labs, or strategy (McKinsey/BCG/Bain/Accenture). • Familiarity with Adobe Creative Cloud, Firefly, AEM, or similar ecosystems. Success Looks Like • High-signal product insights adopted into Firefly/GenStudio roadmaps. • Multiple validated prototypes that drive real customer adoption within weeks. • Improved customer value realization and ARR through better product alignment. • Strong, consistent pattern detection and scalable solution frameworks. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $148,100 -- $282,100 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In New York, the pay range for this position is $194,800 - $282,100 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

SitusAMC is seeking an experienced product manager in Dover, Delaware. This role ensures product decisions align with the organization's strategy while advocating for stakeholders’ needs. The ideal candidate has 6+ years of experience in product or service development, excellent analytical skills, and experience in Agile methodologies. The position offers an annual salary between $120,000 and $140,000, along with various benefits including medical and dental insurance, PTO, and a 401(k).

Company Overview Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact. Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector. Job Summary and Responsibilities Acentra Health is looking for a Machine Learning Engineer/AI Engineer to join our growing team. Job Summary: Work at the intersection of applied AI, data science, and software engineering, building, optimizing, and integrating machine learning (ML) and large language model (LLM) solutions. This role emphasizes generative AI (GenAI), retrieval-augmented generation (RAG), and natural language processing (NLP) to drive innovation, improve healthcare outcomes, and create operational efficiencies. The ideal candidate has experience deploying ML/LLM solutions in production, exposure to MLOps/LLMOps, and a strong ability to mentor engineers. They combine technical excellence with problem-solving skills to deliver scalable, compliant, and impactful AI solutions in the healthcare domain * Position is remote, but candidates based in Raleigh/Durham/Cary, NC or DC area preferred. * Responsibilities: • Design, develop, and deploy LLM-powered applications (e.g. summarization, intelligent assistants, document processing, automation) • Strong skills in API development and system integration, with the ability to contribute across the full stack • Build and optimize RAG pipelines using embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS) • Support ML pipelines including data preparation, training workflows, and deployment into applications • Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance • Mentor and coach engineers on best practices, solution architecture, and applied AI strategies • Partner with business and product teams to translate requirements into effective AI solutions • Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA) • Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules Qualifications Required Qualifications: • Bachelor’s degree in computer science, Data Science, or related field (Master's or PhD preferred) • 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments • Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn) • Hands-on experience with LLMs, embeddings, vector DBs, and RAG pipelines • Cloud experience with AWS and Azure for deploying and managing AI systems • Familiarity with MLOps/LLMOps and CI/CD practices • Experience deploying ML/LLM systems in healthcare or other regulated environments • Excellent communication skills and experience mentoring and collaborating with engineers Preferred Qualifications/Experience: • Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel) • Exposure to multi-agent system design and implementation • Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA) Why us? We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes. We do this through our people. You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career. Benefits Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more. Compensation The pay range for this position is listed below. “Based on our compensation philosophy, an applicant’s position placement in the pay range will depend on various considerations, such as years of applicable experience and skill level.” Thank You! We know your time is valuable and we thank you for applying for this position. Due to the high volume of applicants, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Acentra Health and invite you to apply to future openings that may be of interest. Best of luck in your search! ~ The Acentra Health Talent Acquisition Team Visit us at https://careers.acentra.com/jobs EEO AA M/F/Vet/Disability Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, status as a protected veteran or any other status protected by applicable Federal, State or Local law. #LI-SF1 Pay Range USD $97,040.00 - USD $130,000.00 /Yr.

The RoleWe are seeking a Senior MLOps & Cloud Operations Engineer to help design, build, and operate the cloud and machine‑learning infrastructure that supports production AI systems. This individual will own core platform components and ensure that machine learning workflows move seamlessly from development into stable, monitored, and compliant production environments.This is a hands‑on, high‑ownership role with close collaboration across data science, engineering, and platform teams.Key ResponsibilitiesDesign and maintain secure, highly available cloud environments that support AI and data workloadsOperate and monitor core cloud and DevOps resources to ensure system reliability and performanceOversee enterprise‑scale data platforms and analytics environments, including storage strategy, lifecycle management, and job reliabilityBuild and manage scalable infrastructure across AWS, Azure, and other cloud platforms as neededDevelop and maintain CI/CD pipelines for machine learning workflows, covering training, testing, and deploymentImplement standards for model versioning, artifact tracking, and experiment reproducibilityDeploy and operate machine learning models using containerized and orchestrated solutions (e.g., Docker and Kubernetes)Monitor live ML systems for performance issues, anomalies, and model drift, and support iterative improvementPartner closely with data scientists, data engineers, and application teams to enable smooth ML operationsApply infrastructure‑as‑code and DevSecOps best practices, ensuring documentation and operational readinessContribute to governance, security, compliance, and data‑privacy frameworks for AI systemsRequired Experience & Skills5+ years of experience in cloud infrastructure, DevOps, or MLOps rolesStrong hands‑on experience with major cloud platforms such as AWS and/or AzureExperience supporting or operating Databricks environmentsProficiency with infrastructure‑as‑code tools (e.g., Terraform, Pulumi, or similar)Solid experience with containerization and orchestration technologies (Docker, Kubernetes)Experience building CI/CD pipelines for machine learning or data systemsStrong scripting and automation skills (Python, Bash, or equivalent)Familiarity with ML lifecycle tools and observability platforms for monitoring and alertingPreferred BackgroundExperience deploying and operating machine learning models in production environmentsExposure to model monitoring, alerting, and retraining workflowsBackground working in regulated environments such as healthcare, finance, or life sciencesFamiliarity with security, compliance, and data‑privacy requirements (e.g., HIPAA, SOC 2)

Mercor is looking for a talented MLOps Engineer to join their cutting-edge GenAI team. You will guide research and engineering teams to enhance AI model performance, design domain-relevant tasks, and evaluate MLOps solutions. The ideal candidate has over 2 years of experience in ML infrastructure and hands-on expertise in JAX and PyTorch. This position offers W-2 employment with Cincinnatus LLC and requires a commitment of 40 hours per week. Join us in building foundational AI models!

Jumio is seeking a Software Engineer III for their ML Infrastructure team. This role focuses on improving ML asset lifecycle management and optimizing model serving infrastructure. Candidates should have 5+ years of software engineering experience, expertise in Python, and hands-on experience with AWS serverless architectures and MLOps tools. The ideal applicant will develop efficient CI/CD pipelines and build scalable ML systems in cloud environments. This position is based in the United States.

JOB LEVEL P40 ADDITIONAL JOB LEVELS - EMPLOYEE ROLE Individual Contributor The Opportunity Join Adobe as a skilled and proactive Machine Learning Ops Engineer to drive the operational reliability, scalability, and performance of our AI systems! This role is foundational in ensuring our AI systems operate seamlessly across environments while meeting the needs of both developers and end users. You will lead efforts to automate and optimize the full machine learning lifecycle—from data pipelines and model deployment to monitoring, governance, and incident response. What you'll Do Model Lifecycle Management • Manage model versioning, deployment strategies, rollback mechanisms, and A/B testing frameworks for LLM agents and RAG systems. • Coordinate model registries, artifacts, and promotion workflows in collaboration with ML Engineers Monitoring & Observability • Implement real-time monitoring of model performance (accuracy, latency, drift, degradation). • Track conversation quality metrics and user feedback loops for production agents. CI/CD for AI • Develop automated pipelines for timely/agent testing, validation, and deployment. • Integrate unit/integration tests into model and workflow updates for safe rollouts. Infrastructure Automation • Provision and manage scalable infrastructure (Kubernetes, Terraform, serverless stacks). • Enable auto-scaling, resource optimization, and load balancing for AI workloads. Data Pipeline Management • Craft and maintain data ingestion pipelines for both structured and unstructured sources. • Ensure reliable feature extraction, transformation, and data validation workflows. Performance Optimization • Monitor and optimize AI stack performance (model latency, API efficiency, GPU/compute utilization). • Drive cost-aware engineering across inference, retrieval, and orchestration layers. Incident Response & Reliability • Build alerting and triage systems to identify and resolve production issues. • Maintain SLAs and develop rollback/recovery strategies for AI services. Compliance & Governance • Enforce model governance, audit trails, and explainability standards. • Support documentation and regulatory frameworks (e.g., GDPR, SOC 2, internal policy alignment). What you need to succeed • 3–5+ years in MLOps, DevOps, or ML platform engineering. • Strong experience with cloud infrastructure (AWS/GCP/Azure), container orchestration (Kubernetes), and IaC tools (Terraform, Helm). • Familiarity with ML model serving tools (e.g., MLflow, Seldon, TorchServe, BentoML). • Proficiency in Python and CI/CD automation (e.g., GitHub Actions, Jenkins, Argo Workflows). • Experience with monitoring tools (Prometheus, Grafana, Datadog, ELK, Arize AI, etc.). Preferred Qualifications • Experience supporting LLM applications, RAG pipelines, or AI agent orchestration. • Understanding of vector databases, embedding workflows, and model retraining triggers. • Exposure to privacy, safety, and responsible AI principles in operational contexts. • Bachelor's or equivalent experience in Computer Science, Engineering, or a related technical field. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.‌ In California, the pay range for this position is $183,300 - $265,350 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these tips to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll. Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Capnexus is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capnexus is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capnexus is looking for a highly motivated and experienced AWS DevOps / MLOps Engineer to join our growing team. This is an exciting opportunity for a driven professional passionate about building cutting-edge cloud, automation, and AI-enabled infrastructure solutions in enterprise AWS environments. We are specifically looking for candidates with deep hands-on AWS DevOps experience, ideally including experience working with or alongside AWS Professional Services (AWS ProServe) teams. Responsibilities: • Collaborate with cross-functional engineering, infrastructure, and AI teams to design, implement, and maintain scalable AWS cloud environments and CI/CD pipelines. • Build, automate, and manage AWS-based infrastructure supporting development, production, and AI/ML workloads. • Design and maintain Infrastructure as Code (IaC) solutions using Terraform, AWS CDK, and CloudFormation. • Develop and optimize CI/CD pipelines using Azure DevOps and GitHub Actions/GitHub CI/CD workflows. • Support deployment, monitoring, automation, and operational excellence across cloud-native applications and services. • Work closely with development and AI teams to integrate modern AI tooling and automation capabilities into engineering workflows. • Implement best practices around reliability, scalability, observability, security, and performance optimization in AWS environments. • Participate in architecture discussions, infrastructure planning, troubleshooting, and continuous improvement initiatives. • Support MLOps-related workflows and infrastructure for AI-enabled applications and services. Qualifications: • Bachelor’s degree in Computer Science or a related field. • Strong hands-on experience as an AWS DevOps Engineer or MLOps Engineer in enterprise environments. • Experience working with or supporting AWS Professional Services (AWS ProServe) engagements is strongly preferred. • Deep expertise with AWS services including Lambda, API Gateway, Step Functions, ECS/EKS, IAM, CloudWatch, Amplify, and other core AWS technologies. • Expert-level experience with Terraform, AWS CDK, and CloudFormation. • Strong experience building and maintaining CI/CD pipelines using: • Azure DevOps • GitHub Actions / GitHub CI/CD • Experience incorporating AI-enabled development tooling and automation into engineering workflows. • Familiarity with modern AI engineering tools such as Kiro CLI or similar AI-assisted development tooling. • Strong scripting/programming skills in Python or similar languages. • Experience with infrastructure monitoring, logging, and performance optimization. • Experience with databases such as RDS, PostgreSQL, Oracle, and DynamoDB. • Strong understanding of DevOps, cloud security, automation, and infrastructure best practices. • Excellent troubleshooting, analytical, and problem-solving skills. • Strong communication and collaboration abilities in cross-functional enterprise environments. • Ability to work independently in fast-paced, highly technical client-facing environments. Nice to Have: • Experience supporting AI/ML infrastructure or MLOps workflows. • Experience with Kubernetes, Docker, and container orchestration. • Experience supporting front-end deployments and modern web applications (ReactJS or similar). • AWS certifications (Solutions Architect, DevOps Engineer, Machine Learning Specialty, etc.). • Experience with version control systems such as Git. “Our Culture”: At Capnexus, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture" • We’re driven to exceed our customers’ expectations by listening, leading, solving problems, and delivering what we promise • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME • "A Culture of Learning and Sharing" • We value “Lifetime Learners”; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge. • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities. • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach. • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially. • "A Culture of Growth and Scalability" • Growth comes from not establishing barriers in your role. “Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way. • The most elegant solution is a simple solution. Simple doesn’t mean easy. It’s often more difficult to break a complex problem down into simple, scalable terms. We don’t appreciate, or value, over architected solutions or superfluous coding. • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time. • "All Work is Strategic" • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow • Every task, interaction, and commitment matters • Big or small, we execute our plans and strategies with focus, commitment, and passion We offer: Job Type: Full-time Benefits: • Remote work Capnexus is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It’s why we’re coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we’re headed. We’re proud to share our story and Make Amazing Happen at CDW. The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to productionize models, enable AI capabilities, and ensure reliable, governed ML workflows. The engineer operates with significant autonomy and contributes deep technical expertise across the ML lifecycle. What you’ll do: • Design, develop, and maintain Databricks notebooks and jobs supporting data transformation, analytics, and machine learning workloads. • Develop, integrate, and deploy custom machine learning models using tools such as Azure Machine Learning and MLflow. • Implement data and AI use cases on the Databricks platform, ensuring seamless integration and operational reliability. • Configure and manage external AI models within Databricks Model Serving, including secure management of API keys. • Build scalable asynchronous agents using native Python async patterns to support higher‑concurrency workloads. • Apply CI/CD and DevOps best practices using Azure DevOps to automate deployment and management of data pipelines and ML infrastructure. • Inspect and interpret data, metadata, and database structures using SQL editors and built‑in visualizations. • Collaborate closely with data scientists, analysts, and engineers to translate requirements into production‑ready ML solutions. • Write clean, modular, well‑documented, and testable Python code following established engineering standards. What we expect of you: • 5 years of experience designing, developing, and deploying machine learning solutions on the Databricks platform. • Proficiency in Python, including writing modular, testable code and leveraging async programming patterns. • Familiarity with machine learning concepts, tools, and libraries such as TensorFlow, PyTorch, Scikit‑learn, and MLflow. • Experience configuring and integrating external AI models and working with AI governance and monitoring capabilities. • Understanding of CI/CD and DevOps practices supporting data and ML workloads. • Ability to analyze data and metadata using SQL and visualization tools. • Strong problem‑solving, collaboration, and communication skills. CDW is committed to being an AI-fluent organization We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work. Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice. About Us CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities. As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next. Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen. CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

Opti Track is seeking a Machine Learning Engineer to design, automate, and scale MLOps systems while supporting various machine learning projects. This fully remote role involves collaborating with cross-functional teams and focuses on automating data pipelines, running large-scale experiments, and deploying high-performance algorithms. Required qualifications include 3+ years of MLOps experience, proficiency in Python, and familiarity with CI/CD processes. The company offers robust benefits including comprehensive medical coverage, 401k match, paid PTO, and a remote work environment. #J-18808-Ljbffr

Mercor is hiring for the role of MLOps Engineer in Martinez, California. You will contribute to a leading AI lab's GenAI team, focusing on enhancing AI models through MLOps. Successful candidates will have at least 2 years of experience, with hands-on skills in JAX and PyTorch.This is a full-time W-2 employment position through Cincinnatus LLC. You will support teams in improving AI performance, design technical solutions, and ensure accurate data collaboration. A commitment of 40 hours per week is expected.

1.0 FTE Full time Day - 08 Hour R2655028 Hybrid 108480039 TDS Data Science Innovation Technology & Digital Solutions NEWARK, 7600 Gateway Blvd, California If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) We are seeking a high-caliber Senior AI Platform & ML Ops Engineer to architect the "layered" infrastructure required for autonomous, agentic systems within Stanford Healthcare. In this role, you will be the "Master Chef" of our AI ecosystem, seamlessly folding Expert-Level DevOps (Kubernetes, Terraform, DevOps orchestration) with Agentic Application Development (LangGraph, CrewAI, Tool-calling logic). You won't just manage servers; you will build the robust, full-stack "factory" where multi-agent frameworks interact with healthcare APIs, ensuring every autonomous action is governed by strict ML Ops observability (LangSmith, Arize) and safety guardrails. If you have the "crispy" coding skills to build RAG pipelines in Python and the "rich" architectural depth to deploy scalable microservices, extensive full stack software development expertise, we want you to lead the integration of reasoning-based AI into the future of clinical and business workflow automations. This is a Stanford Health Care job. A Brief Overview The MLOPs Engineer will play an integral role incorporating Artificial Intelligence (AI) within Stanford Health Care. The solutions will impact patient care, medical research, and operational services. This group is tasked to innovate, build, deploy and monitor production grade AI, machine learning (ML) and predictive algorithms into healthcare. The role will partner closely with lead researchers within the AI field and leaders across various clinical specialties and operations. This role will report to the Infrastructure group and have a dotted line relationship to the Data Science team. The role will be responsible for maintaining cloud-based infrastructure as code repositories, maintaining infrastructure, deployment pipelines and designing the security landscape for the team and objects. The role will set the standards for the full SDLC of projects for the Data Science team. Locations Stanford Health Care What you will do • Design, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms. • Develop and implement CI/CD pipelines to automate the deployment, testing and monitoring of AI/ML models and applications. • Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines. • Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability. • Maintain and monitor model training and inference pipelines across multi-cloud tenants especially around Large Language Models (LLMs). • Maintain Kubernetes pods, container registry and virtual machine image library and model registry • Monitor infrastructure utilization and costs pertaining to model training, inference and GPU utilization • Implement best practices for security, data privacy and compliance in AI/ML workflows and infrastructure. • Evaluate and integrate new tools, technologies and frameworks to improve the efficiency and effectiveness of our MLOps processes. • Mentor and provide technical guidance to junior members of the organization. • Stay up-to-date with the latest advancements and trends in MLOps, DevOps and cloud technologies and share them with the team. Education Qualifications • Bachelor’s or higher degree in Computer Science, Engineering or a related field Experience Qualifications • Three (3) or more years of directly related experience Required Knowledge, Skills and Abilities • Proven experience as an MLOps Engineer. • Strong knowledge of cloud platforms such as AWS, Azure or Google Cloud and experience with infrastructure-as-code tools like Terraform or CloudFormation. • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes. • Experience with CI/CD tools such as GitLab CI/CD, Github Actions or CiricleCI. • Solid programming skills in languages such as Python, Rust or Go and experience in scripting and automation. • Familiarity with machine learning frameworks and libraries such as PyTorch, Tensorflow and scikit-learn. • Deep understanding of DevOps principles, agile methodologies and software development lifecycle. • Strong problem-solving and trouble shooting skills, with the ability to analyze and resolve complex technical issues. • Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams. Physical Demands and Work Conditions Blood Borne Pathogens • Category III - Tasks that involve NO exposure to blood, body fluids or tissues, and Category I tasks that are not a condition of employment These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family Experience Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family’s perspective: • Know Me: Anticipate my needs and status to deliver effective care • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health • Coordinate for Me: Own the complexity of my care through coordination Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements. Base Pay Scale: Generally starting at $79.21 - $104.97 per hour The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, Scala, or Java. Basic Qualifications: • Bachelor’s degree • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, Scala, or Java • At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 3+ years of experience building production-ready data pipelines that feed ML models • 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow • 2+ years of experience developing performant, resilient, and maintainable code • 2+ years of experience with data gathering and preparation for ML models • 2+ years of people leader experience • 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JOB SUMMARY: The AI/ML Engineer will collaborate closely with a team of skilled data scientists to develop innovative solutions that enhance guest experiences at our destinations and boost engagement with our digital products. This role requires a solid background in computer science, data engineering, machine learning, and technology. The engineer will be responsible for designing, developing, and maintaining large-scale AI/ML systems that improve guest experiences, increase relevancy, and drive operational efficiencies. Key responsibilities include ensuring smooth data integration into AI systems, orchestrating model selection, and automating AI/ML pipelines. The role also involves overseeing testing, monitoring, and optimizing ML pipelines in production while adhering to the highest standards in ML Ops and AI Ops. MAJOR RESPONSIBILITIES: • AI and ML Ops • Testing & Monitoring in Production: Implement continuous integration and deployment (CI/CD) for models. Test, monitor, and ensure the smooth operation of models in production environments, addressing issues proactively. • ML Ops & AI Ops: Ensure best practices in ML and AI operations, focusing on model versioning, reproducibility, scalability, and performance. • Collaboration: Work closely with data scientists, software engineers, and product teams to ensure successful integration of AI models into production systems. • Performance Tuning & Optimization: Continuously improve the performance of ML models and pipelines, ensuring they meet business and technical requirements. • Documentation & Compliance: Maintain comprehensive documentation for models, pipelines, and operational procedures. Ensure compliance with data security and privacy policies. • AI/ML Application Development • Design, implement, and automate end-to-end ML pipelines, from data preprocessing to model deployment and monitoring. • Build and maintain pipelines that efficiently integrate large datasets into ML/AI models, ensuring data is clean, relevant, and scalable. • Lead the model selection process, balancing between various LLMs and other AI models. Develop robust orchestration systems to deploy models efficiently. • Integrate models into AI-driven applications and workflows, optimizing them for performance and business use cases. • Data Enablement • Collaborate on building secure ETLs, application, data integrations, data workflows, data pipelines, API’s and automate data preparation jobs for analysis, consumptions, BI & reporting, delivering data to other application and platforms. Optimize data flow and processing performance, secure sharing, automated monitoring and alerts. • Engage with internal/external partners to gather requirements and collaborate with technology engineers, architects and data scientists to help in designing a robust data enablement solution. • Understand and actively participate in Environmental, Health & Safety responsibilities by following established UO policy, procedures, training, and team member involvement activities. • Perform other duties as assigned. EDUCATION: • Bachelor’s degree in Computer Science, Engineering, Data Science or in a relevant applied quantitative field is required. • Masters is preferred. EXPERIENCE: • 3+ years of hands-on experience in data engineering or data science, working with cross-functional teams to implement data and ML/AI solutions in real-world applications. ADDITIONAL INFORMATION: • Proficiency in Python, with expertise in ML frameworks like TensorFlow, PyTorch, or Keras, and experience writing production-level code for model training and deployment. • Expertise in cloud platforms for model deployment, scaling, and operationalization, with a preference for experience in serverless architecture and cloud storage solutions. • Familiarity with real-time data integration and streaming platforms, integrating streaming data sources into AI/ML workflows to enable real-time learning. • Proficiency in building and automating ML pipelines with the ability to orchestrate multiple models and data streams, automating from ingestion to deployment and monitoring. • Extensive experience with ML Ops/AI Ops frameworks for model monitoring, version control, and CI/CD, ensuring model accuracy and managing the production lifecycle. Strong experience with CI/CD tools for automating model deployment, testing, and version control in dynamic environments. • Knowledge of DevOps practices for AI/ML pipeline automation, including infrastructure-as-code, containerization, and orchestration. • Proven ability to work in cross-functional teams and translate busines

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team Roku pioneered in developing operating system for TVs. Tv Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality , Picture Quality and Enable innovation technology. With tens of million TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial. About the role We are looking for a creative and passionate Machine Learning (ML) / Deep Learning (DL) Engineer to join the Roku TV team. You will explore Picture Quality (PQ) and Audio Quality (AQ) improvements using AI in a resource-constrained environment, pushing the limits of what is possible in TV technology. Additionally, this role will involve applying state-of-the-art ML techniques to different PQ and AQ related tasks. You will play a critical role in building scalable systems and algorithms that enhance streaming experiences for millions of users worldwide. For California Only - The estimated annual salary for this position is between $135,000 - $185,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. What you’ll be doing • Explore and implement AI-driven Picture Quality and Audio Quality improvements for Roku TV • Apply advanced ML techniques in the optimization of models to enhance video and audio processing pipelines • Research, understand, and implement technical papers on ML/DL to solve complex challenges • Collaborate with engineering teams and cross-functional partners to translate business requirements into technical solutions • Run experiments and analyze results against critical business KPIs We’re Excited If You Have • 1+ years of experience applying Machine Learning to concrete problems at scale • Strong CS fundamentals; ability to write efficient algorithms with ease • Hands-on experience with Machine Learning / Deep Learning frameworks like TensorFlow or PyTorch • Proficiency in coding firmware development using C++ • Proficiency in coding ML/DL algorithms using Python • Solid understanding of DL fundamentals, including RNN, CNN, and multi-modal models • Familiarity with video processing pipelines and audio pipelines • AI literacy and curiosity—whether through previous work or personal exploration • Excellent communication skills, strong work ethic, and works with minimum supervision • Have hands-on experience with edge devices like jetson nano, kadas, and similar • Research background preferred; ability to understand and implement technical papers on ML/DL • Published papers in the field of ML/DL are a bonus • Hold an MS or PhD in Computer Science, Electrical Engineering, or related fields - Preferred #LI-DH2 Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com. The Roku Culture Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.  We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.  To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet. By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.

Job Title: Machine Learning Engineer About Us: UnitX builds the world's leading physical AI systems to automate repetitive visual tasks in factories. UnitX is a fast-moving startup with a team from Stanford, MIT, Google, and beyond. Since inception, UnitX has deployed 1,000+ mission-critical systems across 190+ of the world's leading manufacturers' production lines. Every year, $15B worth of products go through UnitX's AI inspection system to ensure quality. Join us for the rare opportunity to work on computer-vision-driven products that go beyond the state of the art and that improve global manufacturing efficiency. What You'll Do: • You will develop new algorithms that consume raw sensor data input to detect defect segmentation and location information on high-resolution images or 3D inputs, with pixel-level precision. • You will engineer software that runs on the production line 24/7 to efficiently execute our algorithms in real time with each decision made under 20ms. • You will develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system. • You will explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and build applications for critical missions in the manufacture fields. Who You Are: • Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience. Solid foundational and applied math knowledge. • 2+ years of experience in building machine learning models for computer vision in production. • Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow. Excellent Python skills for writing efficient and maintainable solutions in large code bases. • Strong communication and decision-making skills. Ability to explain the rationale behind experiments and make decisions to balance exploration and exploitation. • Resilience in uncertain and complex environments. Preferred Qualifications: • Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field. • Experience with model inference optimization • Experience with non-ML CV algorithms Compensation & Benefits • Competitive cash and equity • Full Medical, Dental, Vision, 401k • Unlimited PTO • Daily meals provided

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue and margin growth. Powered by AI, the PROS Platform enables commercial teams to align capacity with demand and coordinate pricing, merchandising and offer strategies to construct and market optimal offers in real time. By optimizing every customer interaction, PROS helps airlines improve revenue performance and quality, increase commercial agility, attract more customers and build lasting loyalty. Learn more at pros.com. Day in the Life of the Machine Learning Engineer II: PROS is seeking a Machine Learning Engineer II to build, deploy, and operate scalable machine learning solutions within the PROS Platform. This role focuses on productionizing ML models, optimizing performance at a scale, and owning well-defined ML components while collaborating closely with data scientists and software engineers. Design, implement, and productionize machine learning models and data pipelines in collaboration with data scientists and engineers. Convert research and prototype workflows into scalable, reliable, and secure production systems. Build and optimize distributed ML pipelines for large-scale training and low-latency inference. Apply ML best practices for feature engineering, model tuning, validation, and performance optimization. Deploy, monitor, and maintain ML systems in production; diagnose and resolve performance and reliability issues. Evaluate existing ML pipelines and recommend improvements to architecture, tooling, and processes. Extend and optimize shared ML libraries and frameworks to support reuse and consistency. Partner with software engineers to integrate ML solutions into the platform and meet SLA requirements. Required Qualifications – About you: 5+ years of progressively responsible experience (including time spent to pursue advanced degree) in machine learning engineering or data-intensive software engineering. Strong proficiency in Python and experience building production-grade ML systems. Hands-on experience with distributed data and ML frameworks such as PySpark, Databricks, and MLflow. Experience with deep learning frameworks (TensorFlow and/or PyTorch). Strong understanding of distributed systems, performance tuning, and cost optimization. Experience deploying, monitoring, and maintaining ML models for batch and real-time inference. Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure. Strong communication skills and ability to work independently on well-defined problems. Highly Preferred: Advanced degree in Computer Science, Machine Learning, Data Science, or a related field. Experience with GPU-accelerated training or inference. Exposure to advanced ML techniques and large-scale optimization problems. Experience improving shared ML platforms, tooling, or libraries used across teams. AI Fluency & Growth Mindset - We welcome candidates who: Understand core AI concepts and apply them ethically to enhance productivity, insights, and decision-making. Craft effective prompts to optimize the quality and relevance of AI-generated outputs. Explore and apply agentic AI systems, using or managing autonomous agents to streamline workflows and automate tasks. Leverage AI tools to boost efficiency, creativity, and innovation in their daily work. Stay curious and adaptable, continuously experimenting with AI-driven solutions to elevate team performance and customer impact. Why Join PROS? PROS culture and its extraordinary people are at the core of our success. We are passionate about what we do and relentless in delivering on our promises. Our commitment to customer success inspires us to think smarter and dream bigger, empowering airlines to achieve more than they ever imagined through intelligent offer and revenue optimization. At PROS, we foster a culture of care, where people feel supported to grow, innovate, and bring their best selves to work—every day. From flexible ways of working to continuous learning, we empower our teams to thrive both personally and professionally. Join PROS, a dedicated travel technology company with nearly 40 years of proven airline expertise and a long runway for future growth, now powering the future of AI-driven airline retailing. If you want to be part of something exceptional, help us shape how airlines compete, innovate, and win. PROS Core Values We are Owners We look for every opportunity to create a better PROS and a better experience for our customers – and we hold ourselves accountable. We are Innovators We think creatively to find new paths to success – for our people, our customers and our business. We Care We are centered on caring for the people, businesses, and communities we serve. PROS, Inc. is the leading offer management provider to the airline industry, helping airlines deliver seamless retail experiences designed to maximize revenue and margin growth. Powered by AI, the PROS Platform enables commercial teams to align capacity with demand and coordinate pricing, merchandising and offer strategies to construct and market optimal offers in real time. By optimizing every customer interaction, PROS helps airlines improve revenue performance and quality, increase commercial agility, attract more customers and build lasting loyalty. Learn more at pros.com.

Lockheed Martin seeks an AI/Machine Learning Engineer to join our Data Science & Artificial Intelligence (AI) team in the Defense & Aerospace sector. You will design, build, and deploy ML/AI models that power mission-critical systems across air, space, and rotary platforms. Responsibilities include developing robust algorithms, implementing MLOps pipelines, analyzing complex mission data, and collaborating closely with engineers and domain experts. In our high-performance, mission-driven culture, you’ll advance global security while growing your technical career with strong support for learning, innovation, and impact.

Senior Machine Learning Engineer Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, Scala, or Java. Basic Qualifications: • Bachelor's Degree • At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) • At least 3 years of experience designing and building data-intensive solutions using distributed computing • At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) • At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: • 1+ years of experience building, scaling, and optimizing ML systems • 1+ years of experience with data gathering and preparation for ML models • 2+ years of experience developing performant, resilient, and maintainable code • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 3+ years of experience with distributed file systems or multi-node database paradigms • Contributed to open source ML software • Authored/co-authored a paper on a ML technique, model, or proof of concept • 3+ years of experience building production-ready data pipelines that feed ML models • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $147,100 - $167,900 for Senior Machine Learning Engineer McLean, VA: $161,800 - $184,600 for Senior Machine Learning Engineer Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Opportunity Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, exposure to ML systems, and interest in building reliable large-scale platforms that support modern AI products. You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling. What You’ll Do • Contribute to the development of core platform components that support AI experiences in Adobe Express. • Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features. • Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models. • Support runtime systems for inference and orchestration with attention to reliability, observability, and performance. • Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost. • Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities. • Participate in debugging, testing, monitoring, and operational improvements for AI platform services What You'll Bring • 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas. • Good understanding of distributed systems fundamentals, backend services, and scalable system design. • Experience building or supporting APIs, data pipelines, or event-driven systems. • Proficiency in Python, Java, C++, or Go. • Familiarity with cloud environments, service deployment, and production engineering practices. • Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus. • Strong problem-solving skills and the ability to work well in a collaborative team environment. • Clear communication skills and willingness to learn from cross-functional partners. Preferred Qualifications • Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field. • Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks. • Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models. • Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows. • Interest in agentic AI concepts such as tool use, task planning, or memory systems. Why Adobe At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $161,700 - $234,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Mercor's talent network: Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. This is an open application for future contract opportunities that match your background and interests. Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis.About Mercor projectsExperts in our network contribute to:Training and evaluating AI models in Machine Learning EngineeringCreating tasks and deliverables based on real-world scenariosProviding domain-specific feedback to advance frontier AI researchProjects vary in scope and duration, with typical commitments ranging from 15-30 hours per week.What we're looking forProfessional experience in machine learning model development, Python & ML frameworks (PyTorch / TensorFlow), model deployment & MLOpsStrong communication skillsAbility to work independently in a remote environmentHow it worksThis is not a specific job posting. By applying, you're joining our Machine Learning Engineer talent network.Apply once: Complete your profile by uploading your resume and confirming your work location.Get verified: We review your credentials and approve qualified experts.Stay connected: When projects need Machine Learning Engineering expertise, we match you to opportunities based on your expertise and project needs.Start working: Be invited to interview for opportunities that align with your schedule and interests. You will earn competitive rates while working remotely on your own schedule.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Machine Learning Engineer to lead the design, development, and deployment of scalable machine learning models that power business decisions across the enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact. Responsibilities 1. Machine Learning Development & Deployment • Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. • Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. • Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases • Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. • Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps • Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. • Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture • Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. • Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration • Present technical insights and model results to business and executive stakeholders in a clear, actionable format. • Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications Required: • 4-6 years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. • Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. • Experience deploying models into production using ML pipelines and orchestration frameworks. • Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: • Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. • Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). • Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). • Background in statistics, forecasting, optimization, or recommendation systems. #LI-MO1 Careers Privacy Statement***Keysight is an Equal Opportunity Employer.*** California Pay range: MIN $145,970.00 - MAX $266,930.00 Colorado pay range: MIN $135,150.00- MAX $225,250.00 District of Columbia pay range: MIN $135,150.00- MAX $225,250.00 Hawaii pay range: MIN $135,150.00- MAX $225,250.00 Illinois pay range: MIN $135,150.00- MAX $225,250.00 Maryland pay range: MIN $135,150.00- MAX $225,250.00 Massachusetts pay range: MIN $145,970.00 - MAX $243,280.00 Minnesota pay range: MIN $135,150.00- MAX $225,250.00 New Jersey City pay range: MIN $145,970.00 - MAX $243,280.00 New York pay range: MIN $160,160.00 - MAX $266,930.00 Vermont pay range: MIN $135,150.00- MAX $225,250.00 Washington state pay range: MIN $145,970.00 - MAX $243,280.00 Note: For other locations, pay ranges will vary by region US Employees may be eligible for the following benefits: • Medical, dental and vision • Health Savings Account • Health Care and Dependent Care Flexible Spending Accounts • Life, Accident, Disability insurance • Business Travel Accident and Business Travel Health • 401(k) Plan • Flexible Time Off, Paid Holidays • Paid Family Leave • Discounts, Perks • Tuition Reimbursement • Adoption Assistance • ESPP (Employee Stock Purchase Plan) • Restricted Stock Units

About the Role The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We focus on building a deep understanding of both user and merchant behavior to generate accurate ML signals that enhance the Ads auction system providing accurate pricing for our advertisers. Our goal is to maximize the benefits for both users and merchants within Uber's Ads distribution system. You will directly impact Uber's Ads systems by defining and executing the Ads ML roadmap, with a focus on enabling and accelerating large-scale improvements to our recommendation and auction systems. Developing relevant, robust, and observable ad recommendations is crucial to Uber’s fast growing Ads Business strategy, making this a highly impactful role. For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data. In this role, you will: • Design, train, and deploy machine learning models to automate the creation of Waymo's HD maps, unlocking scale for the Waymo Driver. • Apply and advance state-of-the-art ML techniques, including Vision-Language Models (VLMs) and other Generative AI approaches, to pioneer new solutions in mapping automation. • Own the complete model development lifecycle, from data mining and processing to model training, evaluation, validation, and productionization. • Collaborate closely with partner ML teams, such as Waymo Perception and Waymo AI Foundations, to adapt cutting-edge research into scalable, reliable, and production-grade solutions. You have: • 4+ years of hands-on experience in Machine Learning, with a strong focus on computer vision and/or deep learning. • Proficiency in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX). • Demonstrated experience owning problems end-to-end and working across various parts of the systems stack to deliver results. • B.S. in Computer Science, a similar technical field, or equivalent practical experience. It's a Bonus if you have: • M.S. or Ph.D. degree in Computer Science or a related discipline. • Familiarity with foundation models and techniques for model adaptation (e.g., few-shot learning, transfer learning, domain adaptation). • A track record of publications in top-tier ML/CV conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). • Experience with C++. • Direct experience with mapping or GIS is a bonus but not required. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000—$259,000 USD

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here: • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Ad Platform Engineering organization within Disney Entertainment and ESPN Product & Technology is responsible for building, enhancing, and operating a high-performance, distributed, microservice-based digital advertising platform. This platform powers billions of real-time ad decisions daily across Disney’s video-on-demand and live TV properties, including Hulu, Disney+, ESPN, and more. Within Ad Platform Engineering, the Programmatic teams build and maintain Disney’s programmatic advertising suite of products and services that comprise Disney's Real-time Ad Exchange (DRAX). DRAX is an award-winning, proprietary supply-side platform (SSP) that enables programmatic deal configuration and integrates demand from multiple third-party sources into Disney’s ad server in real time. As a Lead Machine Learning Engineer, you will serve as a hands-on technical leader responsible for delivering high-impact machine learning systems while guiding technical direction within your domain. You will design, build, and operate production ML systems at scale, mentor engineers, and partner closely with product and engineering leaders to ensure machine learning solutions are reliable, performant, and aligned with business goals. This is a production-focused leadership role, blending deep technical execution with domain-level technical ownership and mentorship. Daily, you should bring: • Strong technical ownership of ML systems and accountability for outcomes • The ability to lead by example through hands-on design, implementation, and operational excellence • Clear and effective communication across engineering, product, and data partners • Comfort translating ambiguous business problems into well-scoped technical solutions • A focus on system performance, reliability, scalability, and cost efficiency • A collaborative, pragmatic, and optimistic approach to leading complex initiatives • A passion for mentoring, learning, and adapting to a very dynamic and fast-paced environment Responsibilities: • Lead the design and delivery of machine learning solutions across advertising use cases such as inventory forecasting, pricing, targeting, and efficient ad delivery • Apply modern machine learning techniques to solve complex, real-time advertising problems • Provide technical leadership for ML system architecture, modeling approaches, and production readiness within your domain • Design, build, and scale ML architectures that balance model quality, latency, throughput, reliability, and cost • Oversee the full ML lifecycle for owned systems, from experimentation through production deployment and iteration • Design and maintain feature pipelines and feature stores supporting both real-time inference and offline training • Partner with product and engineering stakeholders to translate requirements into clear technical plans and measurable outcomes • Interpret experimental results and guide data-informed decision-making • Ensure ML systems are observable, debuggable, and explainable in production • Establish and maintain monitoring for model performance, drift, bias, and system health • Champion engineering excellence through best practices in code quality, system design, testing, and operational reliability • Mentor and support engineers through code reviews, design discussions, and ongoing technical guidance Basic Qualifications: • Bachelor's in Computer Science or equivalent practical experience • 7+ years of software engineering experience • 5+ years of hands-on experience developing and deploying machine learning systems in production • Strong knowledge of machine learning fundamentals, mathematics, and statistics • Experience operating ML systems in low-latency, high-throughput environments • Strong communication and collaboration skills with both technical and non-technical partners • Solid foundations in algorithms, data structures, and numerical optimization • Proficiency in Python (primary), with experience in Java and SQL • Experience with ML frameworks and tooling such as TensorFlow, PyTorch, and Hugging Face • Experience with one or more of the following: • Deep learning methodologies (e.g., sequence-based or representation learning models) • Transformer architectures (e.g., BERT, GPT, ViT) for NLP and/or vision • Multimodal embedding techniques across text, image, audio, or structured data • Large language models and related evaluation methodologies • Retrieval-augmented generation (RAG) architectures • Experience building systems on cloud-native infrastructure and distributed platforms • Proven ability to thrive in a fast-paced, data-driven, and collaborative environment Preferred Qualifications: • MS or PhD (preferred) in Computer Science or equivalent practical experience • Experience in digital video advertising or the digital marketing domain • Experience with programmatic advertising or real-time bidding platforms The hiring range for this position in Glendale, California is $171,600 to $230,100 per year, Santa Monica, California is $171,600 to $230,100 per year, and Seattle, WA is $179,700 to $241,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Machine Learning Engineering - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. • Retrain, maintain, and monitor models in production. • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models. • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. • Use programming languages like Python, Scala, or Java. Basic Qualifications: • Bachelor’s Degree • At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) • At least 3 years of experience designing and building data-intensive solutions using distributed computing • At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) • At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: • 1+ years of experience building, scaling, and optimizing ML systems • 1+ years of experience with data gathering and preparation for ML models • 2+ years of experience developing performant, resilient, and maintainable code • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field • 3+ years of experience with distributed file systems or multi-node database paradigms • Contributed to open source ML software • Authored/co-authored a paper on a ML technique, model, or proof of concept • 3+ years of experience building production-ready data pipelines that feed ML models • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Plano, TX: $147,100 - $167,900 for Senior Machine Learning Engineer Richmond, VA: $147,100 - $167,900 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JOB LEVEL P30 EMPLOYEE ROLE Individual Contributor The Opportunity Adobe is looking for a Machine Learning Engineer to understand and optimize the experience of Adobe’s Customer Experience Orchestration customers. By partnering with Adobe Research and other business units, you will build products that transform how companies approach audience creation, journey optimization, and personalization at scale. Join a diverse, collaborative, and lively group of engineers and scientists well-established in the ML space. The work here is dynamic, fast-paced, creative, and data-driven. What you'll Do: • Develop innovative models in collaboration with Adobe Research. • Design, develop, and deploy applications powered by predictive and generative models, with a focus on building autonomous agents and using agentic frameworks for adaptive decision-making. • Implement ML-Ops best practices to ensure scalable, reliable, and efficient machine learning workflows. • Engage in the product lifecycle, including architecture, design, deployment, and production operations. • Understand data to make recommendations for the right predictive models, quality metrics, and governance approaches. What you need to succeed: • MS in Computer Science, Data Science or Statistics with 3+ years of applied AI/ML experience, including developing, evaluating ML models, and deploying models into production or PhD degree in Computer Science, Data Science, or a related field. • Deep understanding of statistical modeling, machine learning, or analytics concepts, with a proven track record of solving problems using these methods. • Experience in building large-scale data pipelines. • Ability to quickly learn new skills and work in a fast-paced team. • Proficiency in one or more programming languages such as Python, Scala, Java, or SQL. • Proficiency in ML frameworks such as scikit-learn, SparkML, TensorFlow, or PyTorch. • Experience working with both research and product teams. • Excellent problem-solving and analytical skills. • Excellent communication and relationship-building skills. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,600 -- $234,150 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.‌ In California, the pay range for this position is $161,700 - $234,150 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these tips to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll. Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015. AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.

Description:By bringing together people that use their passion for purposeful innovation, at Lockheed Martin we keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. At Lockheed Martin, we place an emphasis on empowering our employees by fostering innovation, integrity, and exemplifying the epitome of corporate responsibility. Your Mission is Ours. The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a cross-functional team of experts in research, data science, software development, physics, and mathematics. As a key member of this team, you will leverage cutting-edge AI/ML tools and techniques to tackle the most complex challenges in Space - all in support of our national security. This role offers a unique opportunity to collaborate with a diverse group of professionals, drive innovation, and contribute to the development of solutions that address critical problems in the Space domain. The successful candidate will have advanced experience with and/or knowledge of: AI/ML, Deep Learning, or Computer Vision, modern software development practices/languages, and a passion for math and science. Basic Qualifications: • Bachelor's degree in a STEM discipline (e.g. Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics) or equivalent combination of education, training, and experience in a related technical field. • Advanced experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, or Image Processing • Experience with modern software development tools and practices • TS clearance required to start Desired Skills: • Advanced degree in a STEM discipline • Proficiency in one or more of the following programming languages: Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn • Experience with RF, SAR or EO image processing algorithms/techniques • Experience with AWS or another cloud computing platform • Excellent written and verbal communication skills • Ability to work in a collaborative and team-based environment #LMSpaceAI Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: SPACE Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First

Senior Principal Machine Learning Engineer, Ad Platforms Job ID 10150390 Location Seattle, Washington, United States / Santa Monica, California, United States Business Disney Entertainment and ESPN Product & Technology Date posted May 13, 2026

Description:The Lockheed Martin Data & AI Enablement – Advanced Solutions team supporting Rotary & Mission Systems (RMS) is responsible for developing strategies and implementing integrated, cross‑functional solutions that transform operations through data‑based decisions that deliver business‑based outcomes. Our AI team is at the forefront of the digital transformation, building artificial‑intelligence and machine‑learning solutions that drive tangible business improvements. The Lockheed Martin Data & AI Enablement – Advanced Solutions team supporting Rotary & Mission Systems (RMS) is responsible for developing strategies and implementing integrated, cross‑functional solutions that transform operations through data‑based decisions that deliver business‑based outcomes. Our AI team is at the forefront of the digital transformation, building artificial‑intelligence and machine‑learning solutions that drive tangible business improvements. A Senior AI/ML Engineer will be a hands‑on practitioner tasked with conducting experiments, building production‑grade solutions, and partnering with stakeholders and analysts to identify high‑impact opportunities within large structured and unstructured data sets. The role applies and/or develops advanced technologies, scientific principles, and AI techniques to model complex business problems, discover insights, and provide actionable recommendations while guiding the team’s technical direction and mentoring junior engineers. #EBDT Basic Qualifications: Bachelor’s (minimum) or Master’s degree in Computer Science, AI/ML, Electrical/Computer Engineering, or a related field. 3 + years of hands‑on AI/ML engineering experience with a proven record of delivering production AI solutions. Strong proficiency in Python Hands‑on experience with large‑language‑model APIs, prompt engineering, Retrieval‑Augmented Generation (RAG), and agentic orchestration tools (e.g., LangChain, ReAct). De

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies • Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment • Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment • Retrain, maintain, and monitor models in production • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI • Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: • Bachelor's Degree • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, Scala, or Java • At least 3 years of experience building, scaling, and optimizing ML systems • At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: • Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field • 6+ years of experience designing, developing, delivering, and supporting AI services at scale • 3+ years of experience developing AI and ML algorithms or technologies using Python • 2+ years of experience with Retrieval Augmented Generation (RAG) • Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production • Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About ICA, Inc. International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again! We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS. At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about – it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you. We are looking for Senior Data Science/Machine Learning Engineers to join our growing team! About The Role As a Senior Data Science/Machine Learning Engineer at ICA, you will be at the forefront of applying machine learning techniques to solve complex problems and enhance our products and services. Your role will involve developing and implementing machine learning models, collaborating with cross-functional teams, and contributing to the advancement of our AI capabilities. About You You are a curious and driven Machine Learning Engineer with a strong foundation in Python and hands-on experience building and deploying ML models in cloud environments like AWS. You thrive on solving complex problems with multilayered data and enjoy optimizing algorithms for performance and scalability. Your collaborative mindset allows you to work seamlessly with data scientists, engineers, and product teams to bring intelligent solutions to life. You stay current with the latest ML techniques and tools, and you’re passionate about turning prototypes into production-ready systems that deliver real-world impact. Responsibilities • Identify Opportunities: Collaborate with internal and external stakeholders to uncover and define data-driven opportunities that align with strategic business goals. • Data Analysis & Modeling: Mine and analyze complex datasets from company and client databases to drive product and business optimization strategies, using both traditional statistical techniques and state-of-the-art machine learning approaches. • Assess the effectiveness and accuracy of new data sources and data gathering techniques, including evaluating and implementing methods for acquiring and processing large volumes of text data. • Perform data processing using State of the Art LLM Models and technologies • Innovation & Strategy: Assess the effectiveness of new data sources and data gathering techniques, identifying ways to enhance the organization’s data strategy with novel ML and AI methods. • Client-Facing Presentations: Develop compelling presentations and demos to showcase analytical solutions and insights to both technical and non-technical audiences, including clients and senior management. • Predictive Modeling & Optimization: Use advanced statistical and machine learning approaches to drive improvements in customer engagement, product performance, and business processes. • Model Monitoring: Establish processes and tools to track model performance, data accuracy, and reliability over time. Continuously iterate on models to meet evolving business needs and industry best practices. Required Qualifications • 5+ years of overall professional experience in data science, analytics, or a related field. • At least 2–3 years of hands-on experience specifically focused on Large Language Models (LLMs) and related techniques (e.g., fine-tuning, instruction tuning, prompt engineering). • Education: • Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field. • Technical Proficiency: • Coding knowledge and experience with Python • Proven ability to use statistical computer languages (Python, R, SQL, etc.) for data manipulation, analysis, and model development. • Experience with Hugging Face Transformers, LangChain, Llama Index, and/or large-scale training frameworks • Familiarity with LLM evaluation, interpretability, and best practices. • Knowledge of ML and data mining techniques (Regression, Deep Learning, NLP, Time Series Analysis, , etc.). • Familiarity with AWS services (Athena, S3, Glue, SageMaker, Bedrock) for scalable model development. • NLP Techniques (NER, Information Extraction, Text Categorization, Document Parsing) • Preferred: exposure to MLOps tools, big data technologies (Hadoop, Spark), or other cloud services. • Preferred: experience with Document Processing • Ability to obtain a Public Trust Clearance USE OF AI ASSITIVE TECHNOLOGY All application materials must be your own original work, and interviews must be completed independently. Use of AI-generated content in applications or AI assistance during interviews will result in disqualification. Benefits We invest in our team members so you can live your best life professionally and personally, offering a competitive salary and benefits. • Health Insurance -100% employer-paid premiums – ICA covers the full cost of one of three offered medical plans • Dental Insurance • Vision insurance • Health Spending Account • Flexible Spending Account • Life and Disability insurance • 401(k) plan with company match • Paid Time Off (Vacation, Sick Leave and Holidays) • Education and Professional Development Assistance • Remote work from anywhere within the continental United States LOCATION & TELEWORK This is a remote position. Candidates residing in the DMV area preferred. Additional Information ICA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, national origin, genetics, disability status, protected veteran status, age, or any other characteristic protected by state, federal or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: • Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies • Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment • Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment • Retrain, maintain, and monitor models in production • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. • Construct optimized data pipelines to feed ML models • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI • Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: • Bachelor’s Degree • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) • At least 4 years of experience programming with Python, Scala, or Java • At least 3 years of experience building, scaling, and optimizing ML systems • At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: • Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field • 6+ years of experience designing, developing, delivering, and supporting AI services at scale • 3+ years of experience developing AI and ML algorithms or technologies using Python • 2+ years of experience with Retrieval Augmented Generation (RAG) • Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production • Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).