Top Computer Vision Jobs in Seattle, WA

Design, implement, and manage complex machine learning algorithms with a focus on computer vision. Experience in MLOps, cloud platforms, and testing AI technologies is essential.

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.

The Senior Research Scientist will develop algorithms for video content analysis, utilizing machine learning and computer vision to create robust prediction models while collaborating with software teams.

Develop and guide sensor fusion functionality for autonomous driving by creating 3D world models and ensuring accurate representations using various signals. Lead technology approaches and mentor team members while adhering to automotive quality standards.

The role involves conducting advanced research in computer vision and machine learning, collaborating with teams to develop AI solutions that enhance public safety and enterprise domains at Axon.

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.

Train and evaluate AI models for computer vision tasks, assess model accuracy, create training data annotations, and suggest improvements for visual data interpretation.