Senior Applied Scientist, AWS Marketplace Science Amazon.com IncSenior Applied Scientist, AWS Marketplace ScienceSeattle, WAAWS Marketplace is one of the world"s largest B2B software and service discovery platforms, generating rich multi-modal signals that create uniquely challenging problems at the intersection of large-scale information retrieval, generative AI, and agentic systems. The ideal candidate excels in translating complex scientific research into practical, high-impact solutions, demonstrating both technical excellence and a deep understanding of customer needs.
Principal, Applied Scientist, AWS Applied AI Solutions Amazon.com IncPrincipal, Applied Scientist, AWS Applied AI SolutionsSeattle, WAYou will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems. As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon"s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations.
Data Scientist , AMXL Worldwide Science Amazon.com IncData Scientist , AMXL Worldwide ScienceBellevue, WAA typical week might involve whiteboarding a new forecasting approach with a senior scientist, partnering with engineers to push a model into production, deep-diving into operational data to understand why a metric moved, or presenting your findings to business leaders who will act on them. In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders.
Principal, Data Scientist Walmart IncPrincipal, Data ScientistBellevue, WA$132,000–$264,000 / yearWere a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Applied Scientist II, Selling Partner Growth Amazon.com IncApplied Scientist II, Selling Partner GrowthSeattle, WAAs a successful Applied Scientist on our talented team of applied scientists and economists, you will leverage the latest GenAI technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver agentic experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Data Scientist II, Selection Growth Science Amazon.com IncData Scientist II, Selection Growth ScienceSeattle, WAAs a successful data scientist on our talented team of scientists and economists, you will leverage the latest technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver seller-centric experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS)Seattle, WAMinimum Qualifications: Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, Physics, Mathematics, or a related discipline. Preferred Qualifications: Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD)Seattle, WAMinimum Qualifications: Currently pursuing a PhD in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
AI Scientist Senior II Cambia HealthAI Scientist Senior IIRenton, WA$148,000–$196,000 / yearThis position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high-impact business problems in the healthcare payer domain. What You Bring to Cambia: Qualifications: The AI Scientist Sr II would have a degree (masters or PhD preferred) in a strongly a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
AI Scientist Senior II Cambia Health Solutions IncAI Scientist Senior IIRenton, WA$148,000–$196,000 / yearThis position applies deep expertise in advanced analytical tools such as generative AI, machine learning, deep learning, optimization, and statistical modeling to solve complex, high-impact business problems in the healthcare payer domain. What You Bring to Cambia: Qualifications: The AI Scientist Sr II would have a degree (masters or PhD preferred) in a strongly a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and typically at least 12 years of related work experience.
Staff Applied Scientist QXO IncStaff Applied ScientistSeattle, WA$191,000–$345,400 / yearModeling & Research Depending on your expertise, you may focus on some of the following: • Forecasting • Build and productionize time series models for demand, sales, and inventory (e.g., hierarchical forecasting, intermittent demand, seasonality/trend modeling, multivariate forecasting). Work with engineers to turn models into robust services powering internal tools, APIs, and AI agents (e.g., quoting & BOM agents, pricing copilots, supply planning tools).
Staff Scientist Fred Hutchinson Cancer CenterStaff ScientistSeattle, Washington$84,406–$191,755 / yearFull timeWith a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.
Data Scientist III Fred Hutchinson Cancer CenterData Scientist IIISeattle, Washington$126,984–$200,678 / yearFull timeThis role builds data science solutions, applying LLMs/AI to process, structure, and contextualize health data, and creating data products that are customize to the needs of our translational research programs at Fred Hutch including Clinical trials, Precision Oncology, disease-focused programs, and new data science capabilities both at Fred Hutch and across institutions via the Cancer AI Alliance. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers.
Principal Applied Scientist- AI UiPathPrincipal Applied Scientist- AIBellevue, WashingtonYou'll work at the intersection of applied research and production engineering—designing new algorithms, training and evaluating large models, developing novel post-training methods, and shipping systems that reach enterprise customers. If you're passionate about pushing the limits of LLMs, multimodal models, reasoning, planning, tool use, and AI agents—and you enjoy transforming research into products—this is the role for you.
Principal Applied Scientist, Amazon Payments Amazon.com IncPrincipal Applied Scientist, Amazon PaymentsSeattle, WAAs a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. We are looking for a Principal Applied Scientist for Amazon Payments AI/ML Team, which contributes science and science-related engineering work for Amazon's Payments Artificial Intelligence services (e.g.
Applied Scientist, Pricing Science Amazon.com IncApplied Scientist, Pricing ScienceSeattle, WAThe P2 Optimization Science (P2OS) team builds the machine learning systems that power Amazon"s pricing decisions at scale: demand lift models, customer lifetime value frameworks, and the experimentation infrastructure that validates whether our pricing changes actually work. Evaluate and adopt novel techniques - Assess applicability of emerging causal inference methods (synthetic DiD, generalized random forests, causal representation learning) to Amazon"s pricing context; write internal methodology proposals for adoption.
Applied Scientist, Customer360 Amazon.com IncApplied Scientist, Customer360Seattle, WAOur team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models.
Applied Scientist, SCOT-Inbound Systems Amazon.com IncApplied Scientist, SCOT-Inbound SystemsBellevue, WAAs part of IRR (Inventory Routing and Replenishment) organization within SCOT-Inbound systems, Applied Scientists own algorithms powering inventory routing, replenishment, and modeling / simulation of Amazon"s fulfillment network utilizing optimization and machine learning toolsets. Given the scale of problems we solve for our customers and mission-critical nature of our solutions, systems thinking driven approach, with attention to algorithmic complexity, solution quality, simplicity, and extensibility are of critical importance.
Sr. Applied Scientist, WWGS Real Estate & Store Development Amazon.com IncSr. Applied Scientist, WWGS Real Estate & Store DevelopmentSeattle, WAOur team is responsible for developing predictive models and tools to support Real Estate and Topology analysts in making important decisions regarding our storesincluding new store openings, relocations, closures, remodels, design, new formats, and more. Applied Scientist to join us in developing advanced forecasting models, optimization models, and analytical tools to support critical real estate and network planning decisions for Amazon"s Worldwide Grocery business, including Whole Foods Market.
Research Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist - Technologies of Data Management, LLM and AI Agents - Global Tech Research Program - 2027 Start (PhD)Seattle, WAThis topic conducts systematic research across the entire AI infrastructure stack: Network and Observability: Research intelligent fault localization and root cause analysis for large-scale AI clusters, combined with intelligent tuning of time-series databases to improve cluster stability. Data Center Power Scheduling: Research GPU/CPU/MEM heterogeneous collaborative scheduling technologies, build a heterogeneous power orchestration system for AI agents, and address scheduling challenges including heterogenous workloads and state dependencies.