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

Design and implement ML-powered features, optimize algorithms, and collaborate cross-functionally to elevate the ML platform and enhance user experiences.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

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.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Senior Machine Learning Engineer will develop and implement machine learning models, support team collaboration, and contribute to software development processes.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

The Machine Learning Lead will manage technology strategy for AI training data, develop models, optimize pipelines, ensure dataset quality, collaborate cross-functionally, and mentor engineers.

The Senior Software Engineer - Machine Learning at Celonis focuses on designing and developing AI/ML product features and customer solutions, ensuring high quality and scalability while collaborating with various teams.

Lead the design and deployment of machine learning models for personalized navigation and recommendations, managing projects end-to-end with a focus on user-centric solutions.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

Design and deploy machine learning models to combat financial crimes while collaborating with stakeholders and maintaining compliance with regulations.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

Lead the development of ranking and relevance models, design ML systems for patient-provider matching, and mentor junior team members.

Design and build ML models, optimize data pipelines, lead teams, and support AI software components, while advancing AI capabilities for improved customer experiences.

Lead the development of machine learning systems for fraud detection and risk modeling at scale, collaborating across teams and influencing ML strategy.

As a Senior Machine Learning Engineer, you'll develop and implement advanced ML algorithms, collaborate with teams, design architectures, and mentor junior engineers.

As a Senior Machine Learning Engineer, you'll design and deploy ML models to prevent fraud, enhance safety, and support financial services at Block.

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.

As a Senior Machine Learning Engineer, you will design and implement ML applications, collaborate with cross-functional teams, and ensure performance and governance of models.

Design and deploy machine learning models to estimate weather conditions using camera, lidar, and radar data. Collaborate with teams to address weather-related needs and build evaluation systems for rapid deployment.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.