Top Computer Vision Jobs in Seattle, WA

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 computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

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.

The Intern will assist in computer vision and fraud detection projects, working on algorithm testing, model validation, and biometric data collection.

Develop novel machine learning methods to enhance computer vision solutions, identify areas for innovation, and translate research into scalable production systems.

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.