Top Computer Vision Jobs in San Francisco Bay Area, CA

Design, train, and deploy vision-language and other ML models for low-payload robotic arms. Build training/inference stacks, optimize for real-time edge constraints, manage datasets, run experiments, and debug models on hardware in production.

The Expert Imaging Lead for CVRM leads therapeutic area imaging strategies, integrating AI and ML within clinical research and drug development, collaborating with cross-functional teams and external partners for scalable imaging solutions.

Lead R&D for next-generation image and video coding using ML/AI. Design and implement video algorithms, codecs, and multimedia workflows, represent Disney in standards bodies, drive architectural innovation, and produce IP while collaborating globally across media processing, encoding, and streaming domains.

Prototype, design, and implement end-to-end real-time perception and robotics algorithms and systems in C++ for edge/robotics platforms. Integrate ML/CV models, build detection/tracking/sensor-fusion pipelines, and transition prototypes toward production while collaborating across product and engineering teams.

The role involves designing ML pipelines for computer vision, optimizing models for edge deployment, and developing data management systems for sensor datasets.

Seeking a Perception ML Engineer to develop and deploy advanced perception models for robotics, focusing on manipulation and navigation in dynamic environments.

The role involves training and developing large-scale image and video models, optimizing data pipelines, and conducting experiments in a high-performance computing environment.

Design and develop AI software for autonomous robotics, focusing on computer vision and VLA models, while collaborating across functions.

Develop and deploy applied ML and computer vision models to understand technical drawings and specifications. Work on multimodal reasoning across diagrams, text, and structured data, translate research into production within ~1 year, present prior research, and collaborate closely with founders to build customer-impacting solutions.

The engineer will derive requirements for safe driving in self-driving vehicles, collaborate on algorithms, and support testing and system design for autonomy.