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 Staff Software Engineer will optimize deep learning networks for autonomous vehicle systems, focusing on performance analysis, software architecture, and collaboration with cross-functional teams.

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 role involves building and optimizing compression technology, designing neural models, and enhancing training systems for efficient and effective codec production.

Lead development of spatial deep learning models (diffusion and 3D generative) from data curation through training, evaluation, and production deployment; create scalable training datasets from LiDAR, images, videos, and floorplans; combine geometry algorithms with learned models and integrate outputs into an interactive 3D product stack.

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

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

The role involves exploring ideas in deep learning, managing machine learning project life cycles, and collaborating on autonomous driving technology.