Top Computer Vision Jobs in San Francisco Bay Area, CA

The intern will design a PyTorch-based detection pipeline, validate algorithms, experiment with architectures, and contribute to research efforts in computer vision.

Lead the 3D Mapping team in designing ML models and algorithms for 3D perception and mapping, coordinating with cross-functional teams and driving development metrics.

The role involves developing computational image-analysis methods for digital pathology using machine learning and deep learning, collaborating with scientists, and generating quantitative insights from biomedical imaging datasets.

The Machine Learning Engineer will research cutting-edge computer vision, solve complex algorithmic issues, collaborate with tech teams, and assist in hiring talent.

As a Computer Vision Applied Research Scientist, you'll design novel architectures for understanding construction drawings, conduct end-to-end experiments, and transition models to production. You'll collaborate with others to improve accuracy and address real-world issues in AI applications for construction.

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.

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.

Lead development of perception and mapping systems for electric grid infrastructure using computer vision and machine learning. Build models for object detection and spatial reasoning on large-scale visual data.

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.

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