Top Senior Machine Learning Jobs in San Francisco Bay Area, CA

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

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 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 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.

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.

As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.

As an Applied ML Software Engineer, you will design and implement ML models, manage cloud infrastructure, and optimize backend systems for AI-driven content discovery and recommendations.

The Machine Learning Engineer will help build a platform for interpretable AI systems in life sciences, leading research, implementing projects, and ensuring system performance.

The Applied ML Engineer will research and build AI/ML systems, own model development, partner with teams to impact marketplace metrics, and establish best practices for AI/ML at Paraform.

The role involves designing, training, and deploying machine learning models for animation generation, focusing on multimodal systems like text-to-motion and audio-driven animations. It requires optimizing models for performance and collaborating with various teams to integrate motion with intent and character logic.

The Senior Machine Learning Engineer will integrate ML models into animation systems, manage datasets, develop data pipelines, and collaborate on enhancing animation quality and performance.

Lead the design and implementation of ML models and systems for auto-labeling in robotics. Collaborate across teams and mentor junior engineers.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

Lead team efforts in developing machine learning evaluation metrics and algorithms, enhance generative models, and ensure project alignment across multiple teams.

The Senior Engineer, Machine Learning develops audio and vision models for edge devices, collaborating with teams to implement and optimize ML solutions.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.