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

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.

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.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

The Senior Machine Learning Engineer will develop and deploy models for 3D reconstruction from videos, integrate CAD, and work with cloud infrastructures to ensure clinical accuracy.

Lead the development of machine learning systems in agricultural applications, managing a team to deliver scalable pipelines and model operations.

The role involves leading machine learning initiatives to enhance automated testing for autonomous vehicles, improve model interpretability, and collaborate with cross-functional teams.

The AI/ML Software Engineer will design, implement, and maintain AI features and ML models for Rocket Lawyer's platform, working closely with cross-functional teams.

Design and implement CTR/CVR prediction models for ad ranking systems, ensuring high performance and accuracy while leading engineering projects and collaborating across teams.

Design, build, and deploy machine learning solutions. Collaborate with teams to transform research into practical applications using large datasets.

The Applied AI/ML Engineer will design, implement, and scale models for urban simulations, collaborating with teams to ensure alignment with customer needs and product requirements.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Applied Machine Learning Scientist will develop insitro's ChemML platform and integrate AI for drug discovery, collaborating cross-functionally.

The Machine Learning Engineer will develop, optimize, and integrate ML models and systems focusing on KYC/KYB processes, while ensuring compliance and performance optimization in a dynamic environment.

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

The role involves developing and deploying ML solutions, focusing on LLMs and deep learning, while ensuring alignment with business objectives and tech best practices.