Top Computer Vision Jobs in San Francisco Bay Area, CA

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

Develop and deploy state-of-the-art computer vision models for medical imaging, focusing on training vision encoders for radiology applications and evaluating model performance across multiple modalities.

The role involves owning object detection quality, developing technical roadmaps, managing teams, and improving detection systems in self-driving vehicles.

The role involves architecting 3D object detection models, managing data pipelines, developing datasets for training, and mentoring junior engineers.

The AI Engineer will build AI and computer vision systems for food waste management, focusing on model training, evaluation, and product feature integration.

As a Perception Intern, you will work on projects involving 2D image and 3D point cloud models for object detection, focusing on urban features. You will assist in developing machine learning models and algorithms for real-time detection applications.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.