Machine Learning Jobs in Bellevue, WA

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

As a Senior Machine Learning Engineer, you'll develop and optimize models for Chewy's Sponsored Ads to enhance product selection and advertising effectiveness. You will collaborate with cross-functional teams, lead model deployment, and publish research to elevate machine learning applications while mentoring junior scientists.

The Staff Machine Learning Engineer will develop machine learning models to enhance advertising strategies, improving relevance, ranking and customer engagement for Chewy's sponsored ads.

Define value propositions, positioning, messaging, and GTM for CoreWeave's AI researcher and developer tools. Drive product launches, sales enablement, customer advocacy, market insights, and metrics-driven measurement in close partnership with Product, Engineering, Sales, and Marketing teams.

Lead vision, strategy, development, and launch of ad formats for Snapchat. Prioritize ad interaction opportunities, define metrics, integrate quantitative and qualitative insights, run UI A/B tests, and collaborate with design, engineering, data science, and product marketing to build, test, and ship ad products that improve advertiser outcomes and user experiences.

Designs and delivers multi-modal technical learning programs for Sunnyvale engineering teams. Leads needs analysis, partners with senior technical stakeholders, facilitates training, owns program evaluation, and shapes technical development practice across sites.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

The Senior Product Marketing Manager will position CoreWeave's SUNK offering, develop messaging, and collaborate with engineering and sales teams to enhance product adoption and market understanding for AI training workloads.

Design, train, evaluate, and deploy machine learning models for core Snapchat products. Perform data analysis, model training, and production deployment. Collaborate with cross-functional partners to implement ML-driven features, use AI tools and scalable engineering workflows, and maintain high standards for code correctness, security, and production readiness.

Lead vision and roadmap for large-scale recommender systems across Spotlight, Discover, and Friend Stories. Technically lead engineering teams, design next‑generation recommender and retrieval architectures, incorporate SOTA research and foundation models, advance ML infrastructure for scalability and reliability, and partner cross-functionally to drive experimentation, operational excellence, and cost-effective production deployments.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Lead technical strategy, architecture, and implementation for ML inference platform services. Design and scale distributed, high-throughput inference systems, collaborate across teams, drive availability, scalability, operational excellence, cost management, and provide company-wide technical direction and mentorship.

Design, build, and optimize large-scale ML infrastructure: embedding generation, batch inference, data storage/compute, data management, quality systems, and production deployments with ML engineers to improve ranking and recommendation systems.

Design, build, and deploy large-scale ML models powering core products; own full ML lifecycle from data analysis to production; partner cross-functionally to prototype and launch features; apply modern ML techniques and AI tooling while ensuring code quality, security, and scalable production services.

Design, build, and deploy large-scale machine learning models powering Snapchat features. Own full ML lifecycle from data analysis to production, prototype with cross-functional partners, apply modern ML techniques, and use AI tools while ensuring code correctness, security, and scalable system design.

Turn raw customer supply-chain data into structured representations and models. Interpret and contextualize noisy data, form and test hypotheses, build inference, regression, simulation and optimization logic, validate model quality in production, and translate scientific requirements into engineering specifications while collaborating with data engineers and supply-chain experts.

Lead end-to-end machine learning and statistical modeling to solve ambiguous business problems: extract and model large datasets, build and deploy production-ready models, collaborate with engineering, mentor peers, and translate analyses into actionable recommendations for business leaders.

Build and maintain Pure1 Manage SaaS platform and web applications across frontend and backend. Develop subscription/commerce features, data pipelines, and ML-driven analytics. Use AI tooling for code generation, work with microservices, containers, Kubernetes, and collaborate with UX and stakeholders to take projects to production while owning testing, CI/CD, and code review.

The VP of Product will lead CoreWeave's Research Training Stack, focusing on enhancing AI infrastructure, ensuring quality for pre-trained models, and connecting researchers with advanced cloud capabilities.

Independently lead complex hardware and software programs from concept through production, managing scope, schedule, budget, suppliers, EMS, and BOM. Coordinate cross-functional hardware/firmware/mechanical/software teams, oversee validation/testing and regulatory certification, monitor program health metrics, communicate risks and status to stakeholders, and drive process improvements and team development to ensure successful product transitions to manufacturing.

Lead and grow an ML Infrastructure engineering team to design, build, and scale model training, inference, feature stores, and data pipeline systems. Set strategy and roadmap, perform design/code reviews, collaborate with cross-functional stakeholders, hire and mentor engineers, and ensure availability, scalability, operational excellence, and cost management for production ML systems.

Lead and grow a team of ML and software engineers to build large-scale indexing, retrieval, and ranking systems for Snapchat ads. Define architecture and evaluation frameworks, collaborate with product and data science, measure outcomes, and raise engineering and ML standards while shaping Snap's broader ML strategy.

Assist the Research Data Science team by analyzing large viewing and demographic datasets, building statistical and machine learning models, developing data pipelines, prototyping AI solutions, and working with engineering and product teams to scale models for measurement and attribution use cases.

The Architect for Finance and Legal Systems will develop technology strategies for enterprise systems, focusing on AI, ML solutions, and data integration across finance and legal applications to enhance operational efficiency and compliance.

As a Senior Software Engineer, you'll develop new features, improve existing components, mentor junior members, and tackle complex architectural challenges while leading projects autonomously.