Top Machine Learning Jobs in San Francisco Bay Area, CA

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

The Machine Learning Scientist will build end-to-end AI/ML solutions for risk management, collaborate with teams, and drive model development.

Interns will develop and deploy Machine Learning models, drive research projects, and collaborate with senior engineers for real-world applications.

A Principal Software Engineer will enhance and deliver AI/ML technology products, collaborating across teams to improve engineering practices and leading AI/ML feature development.

As a Machine Learning Systems Engineer, you will build and scale AI infrastructure, leading projects and mentoring junior engineers, while focusing on the ML project lifecycle and system architecture.

The Machine Learning Engineer will build and deploy data products, collaborate cross-functionally, improve customer experiences, and mentor others in AI methods.

The role involves enhancing ML models and architectures for pricing and valuation systems. Responsibilities include deploying AI across various data types and collaborating with cross-functional teams to improve model training pipelines.

The Senior Lead AI Engineer will develop, optimize, and support AI products, collaborating with teams to implement machine learning solutions transforming customer interactions at Capital One.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

The role involves developing machine learning models to minimize fraud losses, conducting analysis, and collaborating across business units to improve data-driven modeling solutions.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.