Machine Learning Jobs in Bellevue, WA

As a Solutions Architect at CoreWeave, you will lead technical engagements with customers, build tailored solutions, and collaborate with engineering to enhance products in AI and cloud infrastructure.

Lead product management for an AI-driven healthcare SaaS platform, set vision, drive product execution, and collaborate across teams to ensure successful product delivery.

As a Senior Technical Program Manager, you will oversee resource management, strategic forecasting, and technical problem-solving for Waymo's compute and storage infrastructure, ensuring cost-efficiency and effective resource allocation.

The Staff Research Scientist will define research directions in AI and LLMs, develop models and systems for autonomous decision-making, and lead efforts to translate research into impactful solutions while mentoring team members.

The AI Data Operations Manager will oversee AI data capture and data labeling operations, ensuring efficient workflows and high-quality datasets for mapping products and AI models.

Lead the ML Engineering team within AI Foundations, managing managers and senior engineers, defining technical roadmaps, promoting engineering culture, and fostering collaboration across teams to enhance AI adoption in games.

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.

As an AI Engineer, you will design and build AI systems for enhancing search, personalization, and fraud detection, collaborating with data scientists and engineers to deliver production-ready AI solutions.

The role involves designing and maintaining infrastructure for ML models in Unity's global ads system, ensuring high performance and reliability in a production environment.

The role involves building and maintaining machine learning infrastructure, including data pipelines and distributed training workflows, while collaborating with ML engineers to enhance efficiency and reliability.

As a Senior Machine Learning Infrastructure Engineer, you'll design and maintain the infrastructure for ML models, ensuring reliable performance and optimizing serving pipelines in a high-scale environment.

Design and develop scalable ML infrastructure to support training and inference, optimizing distributed systems, and maintaining operational excellence. Collaborate with various teams to enhance AI capabilities and ensure reliability and performance.

Define and lead modeling architecture for personalization, matchmaking, recommendations, and social discovery. Build large-scale real-time inference systems, develop models for skill, behavior, trust & safety, and multi-objective optimization. Drive Responsible AI, experimentation, observability, and cross-functional standards while mentoring senior engineers and influencing ML strategy.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

The Senior Staff Software Engineer in ML Inference will design and implement production-quality software for ML models, optimize performance, mentor engineers, and influence technical direction in AI-driven advertising.

The Consulting Manager, AI/ML at Snowflake leads a team of architects, ensuring project delivery and quality. Responsibilities include team mentoring, strategic planning, and cross-team collaboration to enhance AI/ML project outcomes while managing client relationships and business growth.

Design and operate large-scale data pipelines for ML training, integrating orchestration tools, optimizing performance, and leading architectural improvements.

Design and deploy algorithms for gesture detection on embedded hardware, owning the development cycle from design to optimization, while collaborating across teams.