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

Design, implement, and deploy machine learning models and systems for recommendations and related problems. Collaborate with engineers, data scientists, and product partners to analyze data, build proofs-of-concept, develop ML/optimization models, write production-quality code, and evaluate models against business goals.

This role involves leading the development of AI systems to replace lab toxicity experiments, focusing on end-to-end ML architecture, research on chemistry-biology correlations, and building innovative models. Candidates should have strong ML skills, engineering abilities in Pytorch and Python, and a passion for both science and technology.

Develop and scale machine learning training systems for robotics data, optimize training pipelines, and collaborate with ML researchers to enhance autonomy models.

As Director of AI/ML, lead the ML organization, set technical vision, mentor a high-performing team, and contribute to model development and production deployment.

As a Staff Machine Learning Engineer, you will optimize Quora's ad products by applying machine learning algorithms, taking ownership of systems, and collaborating across teams.

Lead the development of forecasting models and systems to drive informed decision-making in OpenAI's Strategic Finance team, collaborating with various cross-functional teams.

As a Staff Software Engineer on the Machine Learning team, you'll build scalable systems, integrate ML models, and oversee code quality and project mentorship.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

As a Senior Scientist, you will develop machine learning methods for biologics design, optimize large-molecule therapeutics, and work collaboratively with experimental teams to enhance drug development processes.

Lead the Ad Ranking team, focusing on improving ad quality and performance using machine learning. Responsibilities include team management, stakeholder collaboration, and executing analytical initiatives.

The Senior ML Engineer will design and build ML systems, optimize ML pipelines, implement RAG systems, collaborate with engineering teams, and contribute to ML infrastructure. Requires experience in shipping production ML systems and proficiency in modern ML tools.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

The role involves designing, training, and validating machine learning models for semantic mapping in autonomous vehicles, while collaborating with validation teams and ensuring coding best practices.

The Senior Machine Learning Engineer will design, build, and deploy ML solutions, focusing on payments while collaborating with diverse teams to enhance financial applications.

The Senior Machine Learning Engineer will lead ML projects from ideation to production, focusing on ranking and recommendation systems and collaborating with cross-functional teams for robust AI solutions.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

The Senior Machine Learning Engineer will develop high-performance services, innovate ad technologies, and collaborate with teams to optimize ad campaigns through AI and ML solutions.

As a Senior Staff Machine Learning Engineer, you'll architect and implement personalized learning systems using advanced ML techniques while mentoring peers and guiding strategic decisions.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

As a Machine Learning Engineer, you will develop and operationalize models for content understanding and discovery, collaborating with cross-functional teams and stakeholders to solve impactful problems using machine learning.

As a Staff Machine Learning Engineer, you'll design and productionize ML models, collaborate with various teams, and mentor junior staff, impacting mental health care accessibility.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

The role involves designing and training ML models for sensor fusion, optimizing for deployment, and collaborating with teams to enhance perception capabilities for autonomous vehicles.

The Staff ML Engineer will architect, design, and develop software applications while ensuring the implementation of business requirements and technical documentation. They will collaborate with teams for project delivery, production support, and enhancements.