Machine Learning Jobs in Bellevue, WA

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.

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

The Associate Technical Product Manager analyzes data for product optimization, collaborates with teams, and implements improvements using modern data techniques.

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 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.

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 Director of Product Marketing will define and drive the go-to-market strategy for Monolith, highlighting its AI capabilities in engineering. Responsibilities include positioning, messaging, account-based marketing, sales enablement, and customer advocacy, targeting R&D leaders in various industries.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

The role requires deep product management expertise to influence data strategy and AI adoption, engage with executives, and shape industry narratives.

The Senior Product Manager will lead product lifecycle management for AI-powered healthcare solutions, focusing on market research, product requirements, roadmaps, and performance measurement, while collaborating with cross-functional teams.

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.

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

Lead and mentor a software team developing AI-enabled microscopy software, drive architectural decisions, and foster innovation.

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.

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 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.

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

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.

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

Interns will work on impactful projects under mentorship, focusing on software development in a collaborative environment using modern programming techniques.

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.