Top Senior Machine Learning Engineer Jobs in San Francisco, CA

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.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

The Senior Machine Learning Engineer will develop advanced recommendation models, optimize machine learning algorithms, and collaborate with cross-functional teams to enhance user engagement across Crunchyroll's platforms.

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, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

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

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

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

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.

The Machine Learning Engineer will deploy models, improve existing systems, collaborate with teams, and work with large datasets for government clients.

Design, build, and ship ML-powered product features (search, personalization, recommendations, computer vision). Improve ML platform, pipelines, deployment, monitoring, and data infrastructure. Collaborate cross-functionally to define metrics, iterate models, and deliver scalable, reliable ML systems.

The role involves providing technical leadership, building AI application services, maintaining APIs, and collaborating on design and operational excellence with SRE/DevOps teams.

As a Senior Machine Learning Engineer, you will design and build ML models for patient-provider matching, focusing on personalization and ranking. Responsibilities include model development, A/B testing, and collaborating across teams to improve patient experiences.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

As a Senior Software Engineer, you will build AI platform features, provide technical leadership, drive projects, and maintain high-performance systems primarily using Python and Go.

Develop and train computer vision and multimodal models, design scalable AI frameworks, and improve systems through fine-tuning and reinforcement learning techniques while collaborating with multiple teams.

Lead the development and deployment of machine learning systems for mineral refining operations, collaborating with chemistry and engineering teams to optimize performance and inform operational decisions.

The Senior Machine Learning Engineer will lead the perception stack, focusing on detection, tracking, classification, and sensor fusion for targeting systems, with responsibilities including model development and real-time optimization on embedded devices.

As a Senior Machine Learning Engineer for the Localization team, you'll improve ML systems for pose estimation, integrate computer vision models, and maintain coding best practices. You'll also collaborate closely on model validation and contribute technically to team architecture.

The Senior Machine Learning Engineer will design and optimize machine learning pipelines for AI video models, collaborating across functions and translating model performance into business insights.

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 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 innovative machine learning models for drug discovery, leveraging large-scale single-cell datasets and collaborating with ML Scientists to develop optimized models.

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.