Machine Learning Jobs in Bellevue, WA

The role involves deploying machine learning to enhance Chewy's advertising solutions, developing models for product ranking and prediction, and collaborating with product leaders. Responsibilities include leading new models, publishing research, mentoring, and driving technical strategies.

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

Build and deploy machine learning models end-to-end: acquire and prepare data, perform EDA and feature engineering, evaluate and tune models, create visualizations, and communicate insights to cross-functional teams to improve customer care experiences.

The Senior Machine Learning Engineer at Chewy will develop and deploy ML models for sponsored ads, collaborating across teams to optimize advertising strategies. Responsibilities include model ideation, experimentation, and mentoring junior scientists while communicating insights to leadership.

Lead research in user modeling and personalization, focusing on generative modeling and recommendation systems, build prototypes, mentor team, and publish findings.

Lead the technical roadmap for the Ad Marketplace, design and optimize machine learning models, and collaborate with teams to meet objectives.

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.

The Staff Machine Learning Engineer will develop VoIP infrastructure, integrate AI features into telephony systems, and mentor colleagues while ensuring performance and scalability.

The Senior Software Engineer will develop tools for AI agents, ensure platform reliability, and collaborate on AI financial solutions while enhancing internal workflows.

The VP of Product Management leads product strategy, develops AI-driven functionalities, manages teams, and ensures product alignment with stakeholder goals.

As a Digital Solutions Intern, you'll implement AI solutions in HR operations, automate case management, analyze workflows, and collaborate with teams to enhance employee experiences using technology.

The Senior Product Marketing Manager will lead product marketing strategies, manage product launches, perform market analysis, develop compelling messaging, and engage with stakeholders to drive product adoption and revenue.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Talent Advisor will screen candidates, coordinate with clients and hiring managers, manage candidate pipelines, and support recruiting strategies, while learning from senior team members.

The Staff Machine Learning Engineer will define quality standards for agentic systems, design evaluation frameworks, analyze production issues, and collaborate with teams to enhance system performance and reliability.

The Staff Data Scientist will lead advanced analytics and machine learning initiatives, collaborate with Product Management teams, and generate actionable insights on customer behavior to inform product strategies.

The Project Support Coordinator will assist in data collection for AI and ML, guide participants, manage equipment, and respond to project updates.

The Sr. Project Manager will lead cross-functional teams on digital product projects, ensuring timely and quality delivery while managing client relationships and project scope.

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.

The Principal Product Manager will lead product lifecycle for AI-powered healthcare solutions, conduct market research, develop product roadmaps, and manage cross-functional collaboration.

The VP of AI will lead AI strategy and execution, oversee AI model development, manage teams, and ensure alignment of AI technology with business goals.