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.

Develop deep learning and 3D computer vision models for state estimation, visual navigation, localization, depth, correspondence, and pose estimation. Own data preparation, training, evaluation, benchmarking, and reproducible workflows. Integrate learned measurements into VIO and terrain-relative navigation systems, optimize models for onboard compute, and collaborate with deployment, software, systems, and flight-test teams to deliver production-ready Hivemind SDK components.

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

Develop and research deep learning and vision algorithms for autonomous driving (detection, tracking, prediction, planning, SLAM). Lead end-to-end ML projects from data analysis through model evaluation, and collaborate across product, simulation, and algorithm teams to extend ML technologies into system components.

As a deep learning infrastructure engineer, you will build and optimize systems for deep learning, focusing on computer vision tasks and MLOps workflows.

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.

Lead and grow a team building onboard deep learning behavior models for autonomous driving. Set technical strategy, guide large-scale model training and efficient inference, coordinate across perception, planning, simulation, validation, and infra teams, monitor KPIs, and manage resources to deliver safe, comfortable driving models.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

Develop and optimize deep learning models to decode multimodal biosignals from custom sensors for real-time inference on edge hardware. Build neural architectures, fusion techniques, evaluation frameworks, and collaborate with hardware engineers and neuroscientists to deploy and benchmark models across users and datasets.