Tech Lead Applied Scientist

What you will do:

• Architect end-to-end computer vision pipelines for real-world safety detection — object detection, tracking, semantic segmentation, multi-camera fusion, and beyond.
• Drive the technical roadmap for edge and cloud perception, including how we optimize and deploy models on constrained hardware without sacrificing accuracy.
• Partner closely with our hardware and firmware teams — we build our own devices, which means you'll have a rare ability to co-design the full stack.

Who you are:

• Master’s or PhD in Computer Science, Electrical Engineering, Robotics, Computer Vision, or a related quantitative field with 10+ years of experience leading end-to-end AI systems in production.
• Deep expertise in computer vision (e.g., object detection, tracking, segmentation) for real-world environments and multimodal perception.
• Experience building and deploying real-time or edge ML systems optimized for low-latency inference.

Why join:

• You will impact the industries that run our world, helping keep workers safe and operations efficient.
• You will be surrounded by a high-caliber team and have the autonomy to architect your own career.
• You will work on petabyte-scale multimodal data and stay at the frontier of CV research.