Principal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal Applied Scientist, PVPD Amazon.com IncPrincipal Applied Scientist, Prime Video Personalization & Discovery , PV Personalization & Discovery, Principal Applied Scientist, PVPDSeattle, WAInvent, prototype, and productionize large-scale AI solutions across Prime Video's personalization and discovery ecosystem using deep learning, generative AI, reinforcement learning, and optimization techniques; Provide technical leadership and influence product vision by collaborating closely with engineers, product managers, and senior stakeholders; Design and lead high-impact A/B tests and data analyses to validate hypotheses and guide product direction; Drive technical bar-raising across science and engineering teams through mentorship, design reviews, and collaboration; Stay ahead of industry trends and emerging research; leverage them to evolve long-term strategy and architecture; Publish impactful research internally and externally (e.g. As a Principal Applied Scientist at Prime Video, you will be a technical and strategic leader responsible for inventing, developing, and deploying groundbreaking AI solutions that power personalized, relevant, and delightful experiences for millions of global customers.
Senior Applied Scientist, Amazon Global Data Center Ops Central Insight and Analytics Team Amazon.com IncSenior Applied Scientist, Amazon Global Data Center Ops Central Insight and Analytics TeamSeattle, WACausal inference & root cause analysis: Build models that decompose fleet-wide metric movements into root causes, distinguishing correlation from causation across operational dimensions (site, service, failure mode, time). Anomaly detection & trend identification: Develop multi-variate anomaly detection that distinguishes signal from noise in noisy operational data, and identifies emerging patterns before they become crises.
Data Scientist, Fire TV Amazon.com IncData Scientist, Fire TVSeattle, WAOur team is comprised of Data Engineers, Business Intelligence Engineers, Data Scientists, and Product Managers who take pride in building reliable, trustworthy data products that empower our stakeholders to make data-driven decisions. Successful scientists in this role deliver trusted models and analyses, improve measurement quality, communicate findings clearly to technical and non-technical audiences, and help the business move faster through data-driven insight.
Distinguished, Data Scientist Walmart IncDistinguished, Data ScientistBellevue, WA$156,000–$312,000 / 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. s a Distinguished Data Scientist in the Marketplace data sciences team, you'll have the opportunity to: Drive innovative strategic solutions for Marketplace utilizing advanced SOTA AI and ML solutions at large scale and at accelerated pace.
Sr. Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance Amazon.com IncSr. Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security AssuranceSeattle, WAWorking closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining innovative ML/AI-powered customer experiences and solutions. We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come.
Research Scientist, Asta The Allen Institute for AIResearch Scientist, AstaSeattle, WAThis employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. A PhD focusing on machine learning, reasoning, natural language processing, or a related area, with expertise in one or more of the following: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning.
Staff Research Scientist, AI Agents & LLMs SnowflakeStaff Research Scientist, AI Agents & LLMsBellevue, WashingtonAt the intersection of autonomous agents and large language models (LLMs) , you will build the models and systems that turn enterprise data into self-directed, decision-making agents —shifting from passive data access to autonomous execution. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.
Data Scientist I ExequtData Scientist IColumbia, WashingtonOur clients include federal civilian agencies, commercial enterprises in healthcare IT and financial services, and state/local government entities seeking complex technology solutions that deliver real impact. ExeQut is a leader in consulting, delivering customized solutions and systems integration for enterprise applications, data & AI platforms, identity access and management, cybersecurity, and software development.
Research Scientist, Robotics Research - PhD New College Grad 2026 NVIDIAResearch Scientist, Robotics Research - PhD New College Grad 2026Seattle, WashingtonDeveloping algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; Mentoring interns joining NVIDIA during their PhD programs. Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation.
Applied Scientist, Support Agent Intelligence and Evaluation Amazon.com IncApplied Scientist, Support Agent Intelligence and EvaluationSeattle, WAEnhance support agent capabilities across the broad suite of Amazon Advertising products - expanding coverage, depth of resolution, and advertiser task completion across Sponsored Products, Sponsored Brands, DSP, AMC, and more. This role sits within Amazon Advertising"s broader Agentic Intelligence organization - a community of multiple Applied Science and Engineering teams building the next generation of AI-powered experiences for advertisers.
People Research Data Scientist, AI Fairness & Bias OpenAI LLCPeople Research Data Scientist, AI Fairness & BiasSeattle, WAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Partner with engineering, People Operations, Legal, Privacy, Security, and People Systems teams to recommend and evaluate mitigations such as data improvements, model changes, threshold adjustments, workflow redesign, monitoring controls, and additional human oversight.
Applied Scientist, WHS Data-Tech Amazon.com IncApplied Scientist, WHS Data-TechBellevue, WAWe"re a cross-functional group of applied scientists, software engineers, data engineers, and technical program managers developing computer vision systems, generative AI applications, sensor and IoT solutions, and analytics platforms - all aimed at reducing workplace injuries. You"ll design and train models for tasks like activity recognition, anomaly detection, object detection, and risk prediction using video, image, and sensor data from Amazon"s operational environments.
Applied Scientist, FinTelligence Amazon.com IncApplied Scientist, FinTelligenceBellevue, WAWe are looking for an Applied Scientist to lead the development of generative AI applications that change how finance teams work, tackling problems at the intersection of large language models, multi-agent systems, and real-world financial operations. Solving inference at massive scale using tiered model architectures, intelligent routing, and small language models that deliver production-grade accuracy at a fraction of frontier model cost.
Sr. Applied Scientist, Selling Partner Communities (SPC) Amazon.com IncSr. Applied Scientist, Selling Partner Communities (SPC)Seattle, WAThe team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
Applied Scientist II - Personalization, Customer Intent Science Amazon.com IncApplied Scientist II - Personalization, Customer Intent ScienceSeattle, WAWe are part of Amazon's Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep Shopping For", "Customers who bought this item also bought", and, "Frequently bought together" among others.
Applied Scientist, Linear Personalization Experience Team (LPEX) Amazon.com IncApplied Scientist, Linear Personalization Experience Team (LPEX)Seattle, WAPrime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. The LPEX team"s vision is to surface the breadth and depth of Prime Video"s linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog.
Applied Scientist, SP Support Science Amazon.com IncApplied Scientist, SP Support ScienceSeattle, WAYou will partner with applied scientists and engineers to design and deploy production-grade NLP pipelines, multi-modal AI frameworks, and scalable classification systems at Amazon"s scale, owning your problem space end-to-end, from formulating a scientific approach to shipping a system that 50+ business teams rely on to make better decisions for millions of Selling Partners. Our vision is a continuous, science-driven pipeline where LLM-powered classification, causal impact measurement, and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them.
Sr. Principal Scientist, Stores Economics and Science Amazon.com IncSr. Principal Scientist, Stores Economics and ScienceSeattle, WAWe are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.
Sr Data Scientist, Alexa For Shopping Amazon.com IncSr Data Scientist, Alexa For ShoppingSeattle, WAThe Alexa for shopping Analytics team focuses on understanding how GenAI-powered shopping tools are transforming customer behavior across the shopping lifecycle - from inspiration and problem-solving, to product research, selection, purchase, and post-purchase support. The ideal candidate will operate effectively in ambiguous environments, exercise strong business judgment on high-impact, one-way door decisions, and continuously raise the bar for analytical rigor and operational excellence.
Applied Scientist II, Identity Security & Abuse Prevention Amazon.com IncApplied Scientist II, Identity Security & Abuse PreventionSeattle, WAYou will partner with investigators, security engineers, and data engineers to build end-to-end detection and enforcement pipelines, and you will leverage GenAI, LLMs, and AI-agent architectures to advance our abuse prevention capabilities. Partner with investigators, security engineers, and data engineers to understand abuse patterns, translate operational insights into model features, and ensure detection systems drive real enforcement actions.