Top Senior Machine Learning Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will develop and enhance a machine learning platform, supporting data scientists and engineers in building and deploying models. Responsibilities include defining best practices for ML service development, CI/CD management, and collaboration across teams.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

Lead the development of advanced machine learning models and AI solutions for customer support, focusing on chatbot and voice automation technologies.

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.

The Senior Machine Learning Engineer will develop scalable ML systems, collaborate across teams to improve solutions, and manage critical ML infrastructure projects.

As a Senior Machine Learning Engineer, you will develop and scale machine learning models for Rovo Chat, ensuring reliability and utility, while communicating solutions across teams.

Lead the design and deployment of machine learning models to detect fraud, collaborating with teams to optimize performance and effectiveness while integrating solutions into existing systems.

Develop and deploy AI/ML models and pipelines for various applications, optimize them for performance and cost, and collaborate with teams on deployment.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

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.

The Senior Machine Learning Engineer will design and optimize ML models, manage end-to-end ML projects, and enhance SailPoint's AI capabilities while collaborating with various teams to integrate AI features into products.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

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.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

The Machine Learning Engineer role at Patreon involves developing machine learning models, analyzing data, collaborating across teams, and deploying solutions to enhance creator support.

As a Senior Software Engineer specializing in Machine Learning, you will design and scale Braze's AI platform, focusing on data architecture and production-level ML implementations.

Develop and implement ML models for search and recommendations, focusing on generative AI technologies and multimodal processing to improve creative experiences.

Collaborate on designing recommendation systems, develop ML models, build infrastructure for deployment, conduct A/B tests, and ensure system reliability.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.