Top Deep Learning Jobs in San Francisco Bay Area, CA

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

The postdoctoral scholar will develop algorithms using deep learning and genomics data to improve understanding and treatment of cardiovascular diseases in a collaborative lab environment.

The Principal Machine Learning Scientist II will focus on advancing deep learning methods for biologics discovery, emphasizing protein and antibody design while collaborating with scientists to improve drug discovery efficacy.

The Sr. Research Scientist will advance deep learning techniques, optimize ML systems, and drive innovations for large-scale neural network training.

Develop deep learning models for autonomous vehicle trajectory generation, collaborate with cross-functional teams, and analyze system performance metrics.

The role involves designing and implementing deep learning solutions for object detection, tracking, and segmentation on drones, while prototyping new approaches and optimizing models for performance on embedded hardware.

The role involves developing and deploying deep learning perception algorithms for autonomous systems, focusing on multimodal sensor fusion, performance analysis, and system integration.

The AI Engineer will develop world models for humanoid robotics, enhancing their ability to navigate and adapt to complex environments using deep learning and predictive modeling techniques.

The role involves designing and training deep learning models for genomic analysis, collaborating with scientists, and publishing research findings.

The ML Research Engineer will implement and deploy deep-learning models for perception AI, manage data pipelines, and design user interfaces.