Top Machine Learning Jobs in Seattle, WA

As a Senior Software Engineer on the ML Platform team, you will build and maintain MLOps platforms, enabling machine learning model deployment and training. You'll develop infrastructure for data access, tooling for rapid experimentation, and ensure automation in model training processes, collaborating with cross-functional teams.

As a Senior Machine Learning Engineer, you'll develop and deploy machine learning solutions for marketplace challenges, focusing on delivery ETA, pricing, and incentives. Collaborating with product managers and data scientists, you'll refine algorithms and ensure integration with business goals, fostering continuous innovation and growth at Instacart.

As a Machine Learning Engineer on the Monetization team, you will develop ML technology for Ads, enhance personalization, and drive product improvements through experimentation.

The role involves leading the development and deployment of advanced AI and machine learning products at Salesforce, primarily focusing on the Einstein platform and integrating LLMs and AI capabilities to enhance customer applications.

Lead the architecture and development of RAG and search solutions, integrating advanced machine learning, facilitating AI-driven product innovation, and optimizing search systems for enterprise applications.

As a Senior Data Scientist, you will tackle complex problems in ridesharing using machine learning, collaborate with cross-functional teams, and drive algorithm improvements.

As a Performance Engineer, you'll optimize the throughput and robustness of large distributed systems, solve systems problems, and develop machine learning applications.

As a Research Engineer, you'll develop AI systems to enhance research productivity by building infrastructure, conducting experiments, and mentoring others while collaborating across teams.