Top Computer Vision Jobs in Los Angeles, 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.

Conduct applied research in computer graphics, vision, and machine learning to develop high-fidelity reconstruction and photorealistic image synthesis. Design and evaluate algorithms (e.g., Dynamic Gaussian Splatting, 3D reconstruction), lead data acquisition/curation, publish at top conferences, and integrate research into production workflows for VFX and virtual production.

The role involves developing and deploying computer vision models, collaborating on technical solutions, and utilizing advanced machine learning and AI techniques for Space applications.

Lead computer vision model development and deployment, architect scalable pipelines, integrate hardware with AI monitoring, and ensure efficient manufacturing processes.

As an AI Vision Solution Architect, you will architect AI-powered solutions, manage projects, collaborate with teams, and build customer relationships to enhance AI vision products.

The Machine Learning Engineer will develop and deploy computer vision models, manage ML data infrastructure, and integrate systems for autonomous aerial platforms.

Develop and deploy computer vision and 3D reconstruction solutions: train and validate models (detection, segmentation), process pointclouds/meshes, implement SfM/photogrammetry and SLAM, integrate with microservices, APIs and cloud for production use.