Top Machine Learning Jobs in San Francisco Bay Area, CA

Manage a team of Machine Learning Engineers, architecting systems for content integrity, and ensuring effective model training and deployment.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

The Principal ML Engineer will design and scale ML infrastructure for scientific discovery, collaborating with AI scientists to enhance model training and deployment processes.

Lead the development of outfit completion models by combining client preferences and machine learning to improve personalized recommendations at Stitch Fix.

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The Machine Learning Engineer will lead the design and integration of predictive models for monetization, retention, and user engagement, ensuring ML systems operate reliably at scale. Responsibilities include model development, collaboration with engineering teams, and embedding models into products.

As a Machine Learning Engineer, you'll create and optimize production-ready ML solutions, manage the ML lifecycle, and conduct experiments.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

The Associate Machine Learning Engineer will develop and enhance machine learning models and features to optimize user experience, collaborating with senior engineers and data scientists.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

The Senior Machine Learning Researcher will design experiments, research new algorithms, and collaborate on deploying models for computer vision and robotics applications.

As a Machine Learning Engineer, you will build and optimize models and systems for protein design, enhancing ML pipelines and infrastructure to support scientists.

As a founding Machine Learning Engineer, you will improve core models, optimize LLM inference, develop data pipelines, and ship features directly to users.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

As a Machine Learning Engineer, you will build models and agents to accelerate scientific discovery, collaborating with researchers and developing efficient infrastructure.

As a Machine Learning Engineer, you will develop and enhance ML methods for 3D object detection and monitor ML systems in production, focusing on real-world applications and optimizing task performance.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The role involves integrating and optimizing machine learning models for autonomous vehicle scenario generation, collaborating on AI-driven safety validation, and contributing to data-driven metrics and tooling.

As a Senior Machine Learning Engineer, you will create scalable simulation scenarios for autonomous vehicle testing, integrating AI solutions and collaborating with stakeholders.

As a Senior Machine Learning Engineer, you will design and operate scalable ML systems for real-time personalization, collaborating with teams and mentoring engineers.

The Principal Machine Learning Engineer leads the design and development of advanced ML models, overseeing their lifecycle and collaborating with teams to optimize performance and ensure regulatory compliance.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

As a Senior Machine Learning Engineer, you will develop AI systems in high-stakes environments, ensuring reliability and customer impact. You will improve production ML systems, optimize models, and collaborate with research teams to deploy solutions that enhance productivity in complex domains.

The AI/ML Engineer will develop matchmaking and recommendation systems, scaling them for millions of users while leading a small technical team.