Staff AI Training Infrastructure Engineer Designworks TalentStaff AI Training Infrastructure EngineerBellevue, WashingtonThe organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.
Staff AI Engineer - AI Verticals ZoomStaff AI Engineer - AI VerticalsSeattle, WAWe set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. Building AI agents using frameworks like LangChain, Dify, OpenAI SDK or internal orchestration system through code (not no-code tools), ensuring proper agent flow implementation.
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.
Senior Robotics Research Scientist NVIDIASenior Robotics Research ScientistSeattle, 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; Co-leading and 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 and more junior research scientists and engineers. Deep 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 communication systems; and designing robust workflows for model training and evaluation.
NewResearch Scientist, Robotics Research - Phd New College Grad 2026 NvidiaResearch Scientist, Robotics Research - Phd New College Grad 2026Seattle, WAWhat you will be doing: Developing 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.
Senior MLOps Engineer - DSX Enablement NVIDIASenior MLOps Engineer - DSX EnablementSeattle, CaliforniaYou will: Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines, Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production, Work closely with the teams building the infrastructure software and accelerated frameworks that support today’s most compelling AI applications, Profile and tune large-scale training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational risk, and. In this role, you will develop innovative solutions that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-stack AI and ML system problems, and work on a team with direct responsibility for the success of internal and external customers’ AI and ML initiatives, including LLM performance evaluation and supporting new hardware in open-source frameworks.
AI Engineer/ML Engineer - Senior Developers - AI Training - Seattle, US Prolific Academic LtdAI Engineer/ML Engineer - Senior Developers - AI Training - Seattle, USSeattle, WAWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We're looking for AI and Machine Learning Engineers to join our Expert Network to help train and evaluate the next generation of LLMs using deep technical expertise.
Senior Software Engineer, Mapping - Autonomous Vehicles NVIDIASenior Software Engineer, Mapping - Autonomous VehiclesSeattle, CaliforniaWe are seeking the best engineers motivated about solving complex problems for self-driving cars with a background in software design, embedded software, working on real-time software and operating systems. We believe, realizing self-driving vehicles will be a defining contribution of our generation which can reduce ~1.25 million deaths per year world-wide due to road traffic accidents.
Senior Engineering Manager, Agentic AI Platforms LVTSenior Engineering Manager, Agentic AI PlatformsSeattle, WashingtonScalable Distributed Architecture: Partner with Principal Engineers and Architects to design and build resilient, highly available distributed services capable of supporting large-scale deployments and high-throughput workloads. You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments.
Director, Data Science MCG HealthDirector, Data ScienceSeattle, WashingtonWorking 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.
Senior Software Development Engineer - ML Platform ExpediaSenior Software Development Engineer - ML PlatformSeattle, WashingtonIn this role, you will: Design, build, and evolve scalable machine learning platform capabilities, including system design, API design, and data modeling, to enable reliable feature engineering, feature discoverability, model inference, and operation across multiple technical domains. As 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.
AI/ML Technical Lead Globenet Consulting CorpAI/ML Technical LeadBELLEVUE, WAFull timeThe ideal candidate has strong technical leadership, problem-solving skills, production AI/ML experience, and expertise in Large Language Models. Bachelor’s degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related field.
Director of Engineering - Autonomous Vehicles NVIDIADirector of Engineering - Autonomous VehiclesRedmond, CaliforniaWe seek a Director of Engineering to guide international teams in Europe and the U.S. who develop systems and algorithms extracting intelligence from petascale fleets. Invent and deploy brand new algorithms that mine, classify, and surface the most valuable driving scenarios from massive real-world and simulated datasets.
NewDirector Of Engineering - Autonomous Vehicles NvidiaDirector Of Engineering - Autonomous VehiclesRedmond, WAWe seek a Director of Engineering to guide international teams in Europe and the U.S. who develop systems and algorithms extracting intelligence from petascale fleets. Invent and deploy brand new algorithms that mine, classify, and surface the most valuable driving scenarios from massive real-world and simulated datasets.
Sr Backend Engineer Interaction24,LLCSr Backend EngineerSeattle, WashingtonWorked extensively with Kafka or other high volume-low latency messaging infrastructure and built real time and batch data driven applications. Designed and built video streaming applications, with highly efficient streaming protocols and including real time video analytics.
Finance Professionals - AI Training - Seattle, US Prolific Academic LtdFinance Professionals - AI Training - Seattle, USSeattle, WAWe've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. We're looking for Finance Subject Matter Experts to join our Expert Network to help train and evaluate cutting-edge AI models using professional financial insight.
Data Scientist ConversicaData ScientistSeattle, WashingtonOne of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.
Data Engineer - Finance Weekday AIData Engineer - FinanceBellevue, WAYou'll join a lean, high-impact team responsible for developing scalable data pipelines, improving data quality, and supporting critical financial initiatives. Write, optimize, and troubleshoot complex SQL queries to extract, transform, and validate large-scale financial datasets.
Marketing Data Scientist Puget Sound EnergyMarketing Data ScientistBellevue, WA$103,100–$181,300 / yearPSE's Communications Strategy team is looking for a Marketing Data Scientist to lead the development, measurement, and optimization of marketing, customer engagement, and communications performance through advanced analytics, data science, and business intelligence. The Marketing Data Scientist will need to partner cross-functionally with marketing, customer insights, analytics, regulatory, and external agencies to deliver actionable insights that improve engagement, enhance customer experience, and support corporate goals.
Staff GPU Performance / Kernel Engineer Designworks TalentStaff GPU Performance / Kernel EngineerBellevue, WashingtonThe organization is developing a comprehensive AI infrastructure, platform, and services portfolio that supports the full spectrum of AI workloads—including large-scale compute, model training, fine-tuning, inference, and emerging agentic AI applications. Engineering teams are intentionally lean, highly collaborative, and AI-native, leveraging modern tooling and automation to build infrastructure capable of supporting the industry's most demanding AI workloads.