Top Computer Vision Jobs in Boston, MA

Develop and deploy computer vision capabilities, building pipelines for image processing, analysis, and integration with multimodal AI systems. Requires collaboration with Product and Engineering teams.

Develop and deploy computer vision capabilities, implement image analytics, support multimodal AI workflows, and optimize performance in a mission-driven environment.

The role involves developing, adapting, and implementing machine learning algorithms for computer vision tasks in power grid analysis. Responsibilities include experimentation, error analysis, and project ownership.

The Machine Learning Engineer will develop editable visuals combining computer vision and machine learning, enabling chat-driven figure editing and leveraging biological understanding to produce accurate visuals.

The role involves developing geospatial computer vision analytics, managing projects from research and design to production while collaborating with cross-functional teams.

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.

As a Senior Software Engineer for Computer Vision, you will develop and enhance image processing pipelines, focusing on accuracy, reliability, and integrating AI APIs to support clinical workflows.

Lead the development of AI-driven OCR and Image Recognition solutions, focusing on innovation, strategy, and team management in the retail sector.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.