Top Machine Learning Engineer Jobs in San Francisco, CA

The role involves leading ML model design for mortgage use cases, ensuring model quality and compliance, and collaborating with product teams.

The Model Behavior Engineer at Notion will ensure high-quality AI experiences through context engineering, data analysis, evaluative strategies, and collaboration with AI research labs. Responsibilities include designing tests, debugging, measuring quality, and developing systems to operationalize AI performance. This role blends product thinking with analytical skills to drive enhancements for AI tools.

The Senior Machine Learning Engineer will design and implement AI/ML solutions, analyze datasets, and communicate insights while collaborating with diverse partners.

As a Staff Machine Learning Engineer, you will explore machine learning techniques, develop scalable systems, mentor junior engineers, and collaborate on strategic projects to enhance AI adoption at Coinbase.

The Senior Machine Learning Engineer is responsible for designing and deploying production-scale AI systems, focusing on search and recommendation features using advanced ML techniques.

This role involves designing, optimizing, and deploying ML models for edge environments, focusing on real-time performance and collaboration across teams to enhance driver safety and engagement.

Lead a team of machine learning engineers to develop vertical ads products, enhance ad experiences, mentor staff, and uphold coding standards.

The Senior Technical Director will lead the machine learning and algorithmic strategy for operational analytics, architecting ML systems and advanced algorithms, mentoring teams, and ensuring best practices in production environments.

The role involves architecting LLM systems, developing personalized workflows, fine-tuning models, and collaborating cross-functionally. Requires strong analytical skills and experience in ML/AI systems.