Director of Computer Vision

What you'll do

• Define the long-term research agenda for fundamental computer vision capabilities and scientific excellence.
• Provide executive technical leadership to define the architecture, strategy, and roadmap for the Computer Vision Platform.
• Translate product requirements into robust technical specifications and scalable visual intelligence solutions.
• Manage and scale a distributed research and engineering organization of 50 to 100 people across multiple geographies.
• Own the end-to-end engineering lifecycle for reusable computer vision models and foundational AI infrastructure.
• Establish MLOps practices for scalable training, deployment, and performance optimization across edge and cloud environments.
• Define and track key technical performance metrics like latency, throughput, and model efficiency to drive continuous improvement.
• Evaluate cutting-edge research and lead critical engineering decisions, including build-versus-buy analyses.

What we're looking for

• 10+ years of technical leadership experience leading computer vision teams and organizations.
• 5+ years of hands-on experience building and optimizing computer vision models or as a computer vision researcher.
• Deep expertise in computer vision, machine learning algorithms, and the end-to-end MLOps lifecycle.
• Demonstrated ability to manage and scale a distributed engineering and research organization of 50 to 100 people.
• Experience defining long-term technical vision, engineering strategy, and roadmaps for large-scale platforms.
• Experience in a start-up or fast-paced environment (preferred).
• Experience in public safety, security-focused software, or mission-critical systems (preferred).
• Bachelors degree.