Senior Machine Learning Engineer, Computer Vision Metropolis Technologies, Inc.Senior Machine Learning Engineer, Computer VisionSeattle, WA$150,000–$200,000 / yearThe actual base salary offered is determined by a number of variables, including, as appropriate, the applicant''s qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.
Director, Data Science MCG HealthDirector, Data ScienceSeattle, Washington$201,000–$281,600 / yearWorking closely with Product, Engineering, Clinical, and executive leadership, the Director establishes technical direction, aligns AI research with business priorities, and ensures successful delivery of scalable AI capabilities. The Director, Data Science provides strategic and operational leadership for MCG's Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers and providers.
Director, Machine Learning Science - Marketing ExpediaDirector, Machine Learning Science - MarketingSeattle, WashingtonAs a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership.
Data Science Manager, Finance and Strategy StripeData Science Manager, Finance and StrategySeattle, WA OR New YorkThe team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Research Intern - AI for Science Sea LtdResearch Intern - AI for ScienceSeattle, WAD. candidates in Computer Science, Computer Engineering, Artificial Intelligence, Mathematics, Computational Physics, Computational Chemistry, or other related quantitative disciplines. First-author or co-authored top-tier publications in relevant fields (e.g., NeurIPS, ICML, ICLR, Physical Review series, Nature research series journals, JCTC, JCP, etc.) is preferred.
Sr. Manager, Applied Science - Generative AI Data Research ADOBE IncSr. Manager, Applied Science - Generative AI Data ResearchSeattle, WA$242,600–$351,225 / yearAdobe'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. Success in this role requires strong engineering judgment, comfort with ambiguity, and the ability to guide both system design and applied ML workflows, while scaling impact through effective team leadership and execution.
Principal Applied Science Manager Microsoft CorpPrincipal Applied Science ManagerRedmond, WA$142,800–$274,800 / yearThis role is ideal for a senior technical leader who wants to guide teams to build state-of-the-art AI systems, influence product direction, and deliver scalable solutions that improve how users discover and interact with content across Microsoft platforms. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week.
Sr. Applied Scientist - Computer Vision, Amazon Robotics Amazon.com IncSr. Applied Scientist - Computer Vision, Amazon RoboticsSeattle, WAWe are seeking an passionate, hands-on, seasoned Senior Applied Scientist who will be deep in code and algorithms; who is technically strong in building scalable 3D perception systems across semantic scene completion, encoder-decoder and transformer architectures (e.g., VoxFormer, MonoScene), voxelized occupancy prediction, panoptic and instance segmentation, depth estimation, point cloud processing, and multi-view fusion. Our team tackles some of the hardest unsolved problems in 3D robotic perception: completing occluded scenes from partial observations, generating real-time semantic occupancy predictions, fusing multi-camera inputs (pedestal and end-of-arm tool), and producing sub-250ms mesh reconstructions that drive downstream manipulation decisions.
Business & Marketing Data Science Manager Google LLCBusiness & Marketing Data Science ManagerSeattle, WAPosition requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
NewBusiness and Marketing Data Science Manager Google LLCBusiness and Marketing Data Science ManagerSeattle, WAPosition requires 9 years of experience in the following: Application of quantitative methods to unstructured business challenges and complex, multi-dimensional datasets; Development of statistical algorithms or optimization models and methods; Establishment of data engineering pipelines or dashboarding for data visualization; Leading the strategic interpretation and presentation of complex statistical and machine learning outputs to senior business stakeholders, translating results into actionable insights to optimize global marketing spend and operational strategy; and Providing technical leadership and architectural oversight to a team of data scientists on the development, validation, and deployment of production-ready predictive models, including mentoring the team on best practices for coding, model versioning, and cloud-based ML platforms. Minimum qualifications: Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Business Administration (MBA), Quantitative Marketing or a related field and 11 years of progressive post-baccalaureate experience in the job offered or in a Business Scientist-related occupation.
Director, Data Science - Central Product Platform (CPP) Meta Platforms IncDirector, Data Science - Central Product Platform (CPP)Bellevue, WACPP builds the platforms every product group runs on: the Experimentation Platform behind tens of thousands of tests and most launch decisions, the Research Platform that turns user research into an agent-accessible asset, the Metrics Platform that defines Meta's core metrics, and the analytics, design, and communication platforms teams use to answer questions and ship. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Applied Science: PhD Microsoft AI Internship Opportunities - Redmond Microsoft CorpApplied Science: PhD Microsoft AI Internship Opportunities - RedmondRedmond, WA$6,810–$13,480 / yearAs an Applied Scientist PhD Intern, you will apply your expertise in areas such as supervised and unsupervised learning, deep learning (especially transformers and sequence modeling), reinforcement learning for optimizing user outcomes, and advanced data science techniques. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month.
Associate Director, Data Science Bristol-Myers Squibb CoAssociate Director, Data ScienceSeattle, WA$218,120–$264,308 / yearAs an Associate Director, you will provide scientific leadership across diverse data types generated in drug development - including clinical trial data, genomics, proteomics, imaging, flow cytometry, and other biomarker modalities - driving both the strategic direction and hands-on execution of data science efforts across early-to-late phase drug development programs. We are looking for a seasoned data scientist with a strong computational, statistical, and biological background and a demonstrated track record of leading analytical strategy, driving methodological innovation, and translating complex, multi-modal data into impactful scientific insights that inform clinical development decisions.
Data Science Chief Expert, Supply Chain Management SAP SEData Science Chief Expert, Supply Chain ManagementBellevue, WA10+ years of experience to include deep expertise in machine learning, deep learning, statistical modeling, generative AI, and LLMs, with hands-on experience developing, evaluating, and improving models using real-world datasets - including data preprocessing, feature engineering, and experimentation - and strong analytical and mathematical modeling skills. Hands-on experience with the SAP data and AI platform stack - including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub - with working knowledge of SAP master data domains and Master Data Governance constructs.
AIML - Sr Manager, Evaluation - Data Science & Insights Apple IncAIML - Sr Manager, Evaluation - Data Science & InsightsSeattle, WARepresenting your teams work to senior leadership across AIML and SWE.6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers Strong experience in human evaluation methodology for consumer-facing products at scale Hands-on experience building and deploying LLM-based autograders and rubrics, and using them to drive proactive improvements in models and agentic features Strong written and verbal communication skills, able to communicate effectively with engineers and senior leadersExperience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features Experience with logging infrastructure and instrumentation for AI product quality measurement Track record of growing senior individual contributors and leads from within your team and, where needed, recruiting data science and machine learning talent in competitive hiring markets Familiarity with evaluation frameworks for agentic systems and tool-use. Successful candidates will have strong experience in traditional human evaluation methodology, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.
Staff Scientist - Materials Science IonQ IncStaff Scientist - Materials ScienceBothell, WA$174,520–$250,253 / yearAlso valuable, though not expected in every applicant: experience comparing simulation results against experimental data such as neutron scattering; hands-on use of classical packages including QuantumATK, QuantumEspresso or VASP; the ability to design novel fault-tolerant algorithms; a peer-reviewed publication record; client or partner facing delivery experience; active participation in the fault-tolerant quantum computing community through tools, metrics, talks, repositories or patents; and familiarity with agentic AI tooling such as OpenAI Codex or Anthropic Claude Code. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone.
NewAdvanced Data Science Associate - Intern (North America - University Students) ZS Associates IncAdvanced Data Science Associate - Intern (North America - University Students)Bellevue, WAAdvanced Data Science Associates (ADSAs) Interns help design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all.
Director, Data Science MCG Health LLCDirector, Data ScienceSeattle, WA$177,300–$248,200 / yearWorking closely with Product, Engineering, Clinical, and executive leadership, the Director establishes technical direction, aligns AI research with business priorities, and ensures successful delivery of scalable AI capabilities. The Director, Data Science provides strategic and operational leadership for MCG''s Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers and providers.
Data Science Director (IC) Meta Platforms IncData Science Director (IC)Bellevue, WACollaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and ManagersBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing and communication skills Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Masters or Ph. D. Degree in a quantitative field Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses.
Open Rank Clinical Professor and Director of Didactic Education - Department of Medical Sciences Northeastern UniversityOpen Rank Clinical Professor and Director of Didactic Education - Department of Medical SciencesSeattle, WA$118,000–$138,000 / yearPay Range: Assistant Clinical Professor: $118,000.00 - $138,000.00 | Associate Clinical Professor: $135,000.00 - $150,000.00 | Clinical Professor: $155,000.00 - $188,000.00 | Assistant Clinical Professor: $118,000.00 - $138,000.00 | Associate Clinical Professor: $135,000.00 - $150,000.00 | Clinical Professor: $155,000.00 - $188,000.00. Please indicate how your experience, knowledge, and skills have prepared you to contribute to this work with written statements addressing the following prompt: Teaching statement: Please summarize your past instructional and mentorship experiences, your pedagogical philosophy, your plans/goals for teaching in the Bouvé College of Health, and your strategies for teaching and mentoring a cohort of graduate PA students.