Hayden AI
The Deep Learning Engineer II at Hayden AI leads the research, development, and deployment of deep learning models for urban scene perception. The role involves architecting scalable machine learning systems, optimizing for efficiency, and integrating multi-modal foundational AI models for real-world transit applications. Candidates will collaborate cross-functionally to define technical roadmaps and drive innovation in model compression and inference techniques.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2019
Hayden AI provides an AI-powered mobility platform that delivers autonomous traffic management built on a mobile perception system. It goes beyond traditional automated traffic enforcement by offering real-time monitoring, AI-driven decisioning, and orchestration to create smarter, safer cities. The company markets itself as the world’s first autonomous traffic management platform, delivering scalable insights and automation for city planners, transit agencies, and mobility operators. By optimizing traffic flow and safety, Hayden AI aims to modernize urban mobility across smart-city environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Hayden AI.
Right around the average for this role