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.
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.
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.
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.
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.
Associate Principal - Data Sciences LTM LtdAssociate Principal - Data SciencesBellevue, WA$105,430–$178,000 / yearWe are seeking a highly skilled and motivated Data Scientist to join our team As a Data Scientist you will be responsible for analyzing complex datasets building predictive models and deriving actionable insights to drive business decisions You will work on a variety of projects spanning machine learning deep learning natural language processing NLP and OpenAI implementation The ideal candidate must have strong proficiency in SQL and Python extensive experience in machine learning and deep learning techniques and a solid understanding of NLP concepts Experience with implementing solutions using OpenAI technologies is highly desirable. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it.
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 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.
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.
Science/Social Studies - Washington Middle School Wisconsin Association of School Personnel AdministratorsScience/Social Studies - Washington Middle SchoolWashington, WAJohn the Baptist Catholic School St. John's Northwestern St. Joseph Academy St. Joseph Catholic Academy St. Lawrence Seminary High School St. Leonard Catholic School St. Marcus Lutheran School St. Mary Catholic Schools - Neenah/Menasha (Green Bay Diocese) St. Mary Parish School (Hales Corners) St. Mary Parish School (Menomonee Falls) St. Mary's Springs Academy St. Matthew Parish & School St. Sava Orthodox St. Thomas More High School St. Vincent Pallotti Catholic School Stanley-Boyd Area Schools Stevens Point Area Public School District Stockbridge School District Stone Bank School District Stoughton Area School District Sturgeon Bay School District Summit Christian Academy Sun Prairie Area School District Superior School District Suring Public School District Swallow School District Tamarack Waldorf School The Lincoln Academy The Lutheran High School Association of Greater Milwaukee The Prairie School The Richardson School The School District of Elmwood Tigerton School District Tomah Area School District Tomorrow River School District Tomorrow's Children TransCenter for Youth Trevor-Wilmot Consolidated Grade School District Tri-County Area School District Trinity Academy Twin Lakes School District #4 Two Rivers Public School District Unified School District of Antigo Unified School District of De Pere Union Grove Elementary School - J1 Union Grove Union High School United Community Center Schools Unity School District University Lake School University School of Milwaukee UW-Milwaukee Children's Learning Center Valders Area School District Verona Area School District Viroqua Area Schools Walworth County Lakeland School Washburn Washington Caldwell School District Washington Island School District Waterford Graded School District Waterford Union Waterloo School District Watertown Unified School District Waunakee Community School District Waupun Area School District Wausau School District Wautoma Area School District Wauwatosa School District Wauzeka-Steuben School District Webster School District WECAN Demo/Testing Account West Allis-West Milwaukee School District West Bend School District Westby Area School District Weston School District Westosha Central High School Weyauwega-Fremont School District Wheatland J1 School District White Lake School District Whitehall Schools Whitewater Unified School District Whitnall School District Williams Bay School District Wilmot Union High School Wingra School Winneconne Community School District Winter School District Wisconsin Association of School Personnel Administrators (WASPA) Wisconsin Department of Corrections Wisconsin Heights School District Wisconsin Rapids Public Schools Wittenberg-Birnamwood School District Wonewoc-Union Center School District Woodlands School Wrightstown Community School District Yeshiva Elementary Yorkville Jt. Seneca School District Seton Catholic Schools Seton School Seymour Community School District Shawano School District Sheboygan Area School District Sheboygan Christian School Shell Lake School District Shorewood School District Shullsburg School District Siena Catholic Schools of Racine-Consortium Silver Lake J1 Siren School District Somerset School District Sonnenberg Schools South Shore School District Southern Door County School District Southwestern WI Community School District Sparta Area School District Spooner Area School District St Coletta Day School of Milwaukee St. Alphonsus Congregation St. Andrew Parish School St. Anthony School of Milwaukee St. Augustine Preparatory Academy St. Bruno Parish School St. Croix Central School District St. Croix Falls School District St. Dominic Congregation St. Francis Children's Center St. Francis de Sales Grade School St. Francis School District St. Francis Xavier Catholic School System, Inc.
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.
Sr. Manager Data Science - Gen AI and Content Systems RELX Group plcSr. Manager Data Science - Gen AI and Content SystemsWARemote$118,300–$219,800 / yearOur company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. Our teams harness the power of large language models (LLMs), RAG, agentic systems and large-scale structured and unstructured content systems to build tools that acquire, structure, enrich and deliver legal content.
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.
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.
Principal Software Engineer | Data Science ExtraHop NetworksPrincipal Software Engineer | Data ScienceSeattle, WABy decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security.
Sr Software Engineer, Data Science ExtraHop Networks IncSr Software Engineer, Data ScienceWABy decrypting and analyzing complete packet-level data at wire speed and leveraging cloud-scale machine learning, ExtraHop empowers Security Operations Centers (SOCs) to detect, investigate, and remediate modern cyber risks in real time across their entire hybrid infrastructure, including data center, cloud, and SASE environments. ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge Network Detection and Response (NDR) solutions that empower organizations to detect, respond to, and mitigate cyber risks in real time.
NewData Science Manager - TikTok Ads TikTok IncData Science Manager - TikTok AdsSeattle, WAPartner with Data Engineering to ensure the data accuracy and consistency Minimum Qualifications: MS or PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics, etc. Develop deep partnerships with engineer and product teams to deliver on major cross-functional measurements, testing, and modeling efforts.
Machine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD)Seattle, WAMeets at least one of the following criteria: Familiar with quantum chemistry algorithms, with experience in developing or using DFT/Post-HF computational tools or algorithmsFamiliar with molecular dynamics engine development, with experience modifying the source code of LAMMPS or OpenMMFamiliar with machine learning algorithms, with hands-on experience in at least one of the following areas: LLMs, reinforcement learning, agents, or generative modelsFamiliar with solid-state physics, with hands-on experience in materials simulation and MLIP developmentFamiliar with statistical mechanics and enhanced sampling algorithms, with strong domain knowledge and development capability. About the Team: The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.