Top Hybrid Machine Learning Engineer Jobs in San Francisco, CA

The Sr. Applied Scientist will develop machine learning models to enhance NBA 2K's gameplay, focusing on matchmaking, user personalization, and in-game economies while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

Lead a team of ML researchers to innovate deep learning solutions in AdTech, managing projects while staying hands-on in coding and implementation.

Lead and build a Machine Learning team, driving strategy and execution across product areas like Document Generation and Voice Agents while collaborating with Product and Engineering.

The Research Engineer will develop online mapping algorithms, collaborate on datasets, and contribute to ML solutions for autonomous vehicles.

Develop machine learning algorithms for scene understanding in autonomous vehicles. Collaborate on data strategy and enhance models for safe navigation in complex urban environments.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.

Manage and grow the ML team, define goals and metrics, drive ML initiatives, build evaluation processes, and collaborate cross-functionally to enhance product delivery.

Lead research and development of advanced fraud detection ML models, experiment design, productionizing prototypes, and mentoring engineers.

Develop and optimize machine learning models for document understanding, handle production ML systems, and integrate innovations into APIs.