Top Computer Vision Jobs in San Francisco Bay Area, CA

Design, implement, and deploy deep learning models for computer vision, optimizing them for real-time performance, and evaluate the autonomous systems.

The AI Engineer will develop custom SLAM systems for humanoid robots, ensuring accurate localization and mapping in dynamic environments, leveraging C++ and Python.

As a 3D Computer Vision Engineer, design and implement solutions for 3D reconstruction and scene understanding using modern techniques and deep learning methodologies.

As a Senior Computer Vision Engineer, you will design and optimize production-grade systems for visual positioning and 3D mapping, leading technical reviews and collaborating across teams.

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

The Computer Vision/Perception Engineer will define perception for a new consumer robot, building the perception stack, optimizing vision systems, and collaborating across teams to transition prototypes to production.

Develop systems for 3D perception and tracking in robotics using SLAM and multi-view geometry, focusing on real-time and large-scale data processing.

As a Perception Engineering Intern, you'll develop AI systems for mobile enforcement platforms, focusing on computer vision and machine learning models and contributing to model evaluation and performance testing.

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

As a Research Engineer, you'll enhance visual understanding capabilities by training and deploying models to make video datasets queryable, driving down costs, and collaborating on data taxonomy design.