Top Computer Vision Jobs in San Francisco Bay Area, CA

Develop and deploy computer-vision and ML pipelines for microscopy datasets, partner with biologists and engineers, benchmark and calibrate tools, extract disease-relevant phenotypes, and communicate results to cross-functional stakeholders.

Design and implement computational photography and computer vision algorithms end-to-end: algorithm design, prototyping, evaluation, performance optimization, and deployment. Collaborate with software, hardware, and design teams to integrate technologies into camera products and transfer research into shipped products.

Develop and train computer vision and multimodal models, design scalable AI frameworks, and improve systems through fine-tuning and reinforcement learning techniques while collaborating with multiple teams.

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

Lead the computer vision team in developing and deploying sophisticated models, managing technical strategy, and ensuring high-quality performance in production systems.

Join Muro AI as a Founding Engineer to build AI agents for the construction industry. Responsibilities include developing workflows, interpreting blueprints, and deploying computer vision models.

The Senior Computer Vision Engineer will develop and maintain Computer Vision systems, refine algorithms for 3D Reconstruction, optimize performance, lead technical projects, and collaborate with cross-functional teams.

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

The Applied Researcher will focus on architectural exploration of Vision-Language Models, mentorship, practical implementation, and innovation in model architectures, bridging academic theory with scalable applications.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.