Principal Applied Scientist, Data Center Design Engineering - BIM & AI Technologies Amazon.com IncPrincipal Applied Scientist, Data Center Design Engineering - BIM & AI TechnologiesSeattle, WAIn this role, you will define and drive the research roadmap at the intersection of generative AI, graph neural networks, natural language processing, reinforcement learning, and computer vision, applied to both structured data (BIM models, 3D geometries, spatial relationships) and unstructured data (construction drawings, specifications, regulatory documents). You will own end-to-end technical solutions from research through production deployment, working alongside architects, structural engineers, MEP engineers, construction managers, software engineers, UX designers, and product managers to translate research breakthroughs into deployed systems with measurable customer impact.
Applied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate Voice Amazon.com IncApplied Scientist II- Recruiting AI Agents, Recruiting Agents & Candidate VoiceSeattle, WADesign and architect AI-powered agentic solutions that help candidates navigate Amazon"s hiring process, including scoping requirements, identifying dependencies and constraints, and creating robust scientific and technical designs that balance candidate experience with system scalability. Collaborate cross-functionally with Research Scientists, Software Engineers, and Product teams to integrate agentic solutions into Amazon"s candidate-facing platforms, ensuring seamless deployment and alignment with broader Talent Acquisition goals.
Research Scientist, Private Brands Intelligence - SCIT Science AmazonResearch Scientist, Private Brands Intelligence - SCIT ScienceSeattle, WAOur team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon's retail business and develop Statistical Models and Algorithms to drive strategic business decisions and improve operations. Key job responsibilities You will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.
NewApplied Scientist, AI Red Violet, Inc.Applied Scientist, AISeattle, WA$195,000–$205,000 / yearREQUIRED MINIMUM QUALIFICATIONS: Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on one or more of the following: generative AI, deep learning, reinforcement learning or graph neural networks. Apply advanced machine learning techniques to analyze large and complex datasets, extract meaningful insights, and develop predictive models to improve risk assessment, background screening, and identity verification processes.
NewApplied Scientist, AI Red Violet IncApplied Scientist, AISeattle, WA$195,000–$205,000 / yearREQUIRED MINIMUM QUALIFICATIONS: Master's degree in Computer Science, Artificial Intelligence, or a related field with a focus on one or more of the following: generative AI, deep learning, reinforcement learning or graph neural networks. Apply advanced machine learning techniques to analyze large and complex datasets, extract meaningful insights, and develop predictive models to improve risk assessment, background screening, and identity verification processes.
Sr Data Scientist- Consumer Analytics T-Mobile USA, IncSr Data Scientist- Consumer AnalyticsBellevue, WAFull time4-7 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required). Job Responsibilities: Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights.
Research Scientist, Post-Training (Tech Leadership)- Meta Superintelligence Labs MetaResearch Scientist, Post-Training (Tech Leadership)- Meta Superintelligence LabsSeattle, WAProvide scientific leadership in designing novel methodologies for post-training data collection, curation, and synthetic data generation 2. Define data quality frameworks and alignment strategies that guide capability development across MSL, particularly for complex reasoning and agentic behaviors 3. Drive the scientific vision for eliciting high-quality data in expert domains (finance, legal, health, STEM) and complex agentic trajectories (Deep Research, Computer Use, UI generation) 4. Conduct research to develop and optimize post-training recipes that directly improve model quality 5. You will collaborate closely with technical leadership to ensure our data pipelines capture the most important capabilities-ranging from expert domains (STEM, GDP-valuable tasks, finance, legal, health) to advanced agentic tasks (search, Deep Research, computer use, coding, UI generation, and shopping agents).We are looking for exceptional research talent-researchers who have shaped the field of machine learning and are ready to do so again at the frontier of AI.
Research Scientist, Operations Research (Infrastructure Lab) Beijing ByteDance Technology Co LtdResearch Scientist, Operations Research (Infrastructure Lab)Seattle, WAYou will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale.
Senior Research Scientist, Operations Research (Infrastructure Lab) Beijing ByteDance Technology Co LtdSenior Research Scientist, Operations Research (Infrastructure Lab)Seattle, WAYou will have the opportunity to solve some of the most challenging optimization problems behind large-scale AI datacenters while pioneering the next generation of AI-powered decision-making systems, where LLMs, and optimization algorithms work together to improve efficiency, resource utilization, and operational intelligence across ByteDance's global infrastructure. ByteBrain supports a wide range of infrastructure domains, including AI data center supply chains, databases, storage systems, networking, containers and virtualization, and big data platforms, powering infrastructure optimization at massive scale.
Research Scientist, Alexa Devices & Marketing Amazon.com IncResearch Scientist, Alexa Devices & MarketingSeattle, WAAbout the team The Alexa Customer Science (ACS) team is a team of Research Scientists, UX Researchers, and Market Researchers that surfaces timely, scientifically-grounded insights about customers to guide marketing and product leaders. As a Research Scientist with ACS, you will be responsible for designing, conducting, and analyzing research that helps product and marketing teams in Alexa Devices better understand our customers" preferences, experiences, and behaviors.
Research Scientist, Multimodal Alignment, Safety and Fairness, DeepMind Google LLCResearch Scientist, Multimodal Alignment, Safety and Fairness, DeepMindKirkland, WAFrom 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.
Machine Learning Scientist III - Whole Trip AI Expedia Group IncMachine Learning Scientist III - Whole Trip AISeattle, WA$137,500–$192,500 / yearDemonstrated ability to translate problem statements into well-defined ML tasks, design appropriate model and data structures (including APIs and data models), and own solutions within a defined product, service, or feature area, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products with attention to safety and reliability. Collaborate with cross-functional partners (product, analytics, engineering) to translate ambiguous business needs into well-scoped ML projects, communicate findings, and influence decision making with data-driven insights.
Senior Applied Scientist , Alexa AI Aurora AmazonSenior Applied Scientist , Alexa AI AuroraBellevue, WAKey job responsibilities - Define the science roadmap and advance core science primitives for conversation modelling, content generation, and automated quality assurance via state-of-the-art computer vision, machine learning, and generative AI - Architect agentic systems, making high-judgment trade-offs across audio/text/visual quality, relevance, latency, cost, and long-term extensibility - Establish evaluation frameworks, metrics, and success criteria for the team's scientific initiatives, institutionalizing rigorous validation across customer touch points - Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance - Identify whitespace opportunities by staying at the forefront of AI/ML advances and translating them into actionable research directions with clear customer and business impact - Drive development and deployment of scalable agentic systems for conversation understanding and generation, ensuring architectural decisions support long-term platform evolution - Set and continuously raise the scientific and engineering bar across the team - Tackle the team's most complex technical problems while maintaining practical focus on customer value and solution generalizability - Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents About the team AURORA is the AI runtime backbone and horizontal intelligence team that powers Alexa's core infrastructure, AI capabilities, and specialized conversational models. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience in building machine learning models for business application - Experience with large scale distributed systems such as Hadoop, Spark etc.
Applied Scientist III - Robotics & Physical AI, Autonomous Lab, WW Sustainability Amazon.com IncApplied Scientist III - Robotics & Physical AI, Autonomous Lab, WW SustainabilitySeattle, WAIntegrate robotic platforms and laboratory instruments into automated workflows via APIs (SiLA 2, or equivalent), building real-time data pipelines for multimodal experimental outputs. To get there, we need exceptionally talented, bright, and driven people who are passionate about making a meaningful impact on communities and the environment while helping shape the future of sustainable business practices.
Data Scientist, SPX AI Lab, SPX Science Amazon.com IncData Scientist, SPX AI Lab, SPX ScienceSeattle, WAWe strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon's policies and taking actions to grow their business. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small.
Principal AI Scientist GoDaddy IncPrincipal AI ScientistSeattle, WARemoteThis core Applied AI and Machine Learning team utilizes large-scale data to power various business areas, and our goal is to create cohesive navigation experience across channels and web pages, to help simplify and enhance the shopping experience for everyday entrepreneurs across the world to quickly find what they need on our website. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day-focusing not only on our employee experience, but also our customer experience and operations.
NAVER Search US - Senior Applied Scientist (Generative AI & LLMs) Naver U.Hub INCNAVER Search US - Senior Applied Scientist (Generative AI & LLMs)Bellevue, WA$140,000–$210,000 / yearIn this role, you will define the technical direction of the applied science team, mentor scientists, and partner closely with engineering to translate advanced research into scalable, production-ready AI systems. Our teams across Naver Search US, BAND, ThingsBook, and Naver Ventures collaborate to advance AI, social media, and investment initiatives that build smarter and more connected experiences for global users.
Security Engineering Manager, Security Analytics and AI Research AmazonSecurity Engineering Manager, Security Analytics and AI ResearchSeattle, WAKey job responsibilities Lead and develop a team of security experts building novel detection solutions at AWS scale Own the security value of GuardDuty detections, leading operational reviews and prioritizing improvement opportunities Collaborate with science and engineering teams to deliver detections to production across runtime, network, CloudTrail, and AI protection domains Stay up to date with the ever changing cloud security and threat landscape, including emerging threats targeting agentic AI applications Work backwards from our customers to drive product roadmaps and detection coverage improvements Drive detection engineering best practices including attack simulation, security value evaluation, and coverage measurement About the team Security Analytics and AI Research (SAAR) The AWS SAAR team's mission is to provide security value to our customers by inventing and innovating at the intersection of information security and AI. This role will collaborate closely with applied scientists and partner engineer teams to continuously improve threat detection across multiple data domains - including CloudTrail analytics, runtime monitoring, network traffic analysis, and AI workload protection.
Lead Data Scientist, Ad Research The Walt Disney CoLead Data Scientist, Ad ResearchSeattle, WA$155,700–$208,700 / yearYou will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well as leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. 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.
Applied Scientist II - Gen AI & LLM, PXT AmazonApplied Scientist II - Gen AI & LLM, PXTSeattle, WAUSA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually Description Amazon is seeking an Applied Scientist II to join our team and drive innovation in Generative AI and Large Language Model (LLM) applications.