Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging

What you'll do

• Design, train, and deploy machine learning models for photon-efficient, event-driven imaging systems.
• Develop computer vision algorithms for tracking, depth estimation, and SLAM using high-temporal-resolution data.
• Create novel photon-efficient imaging features and algorithms specifically for next-generation AR glasses.
• Research new machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy.
• Deliver advanced detection technologies for face, hand, and body tracking in augmented reality systems.
• Translate complex research ideas into clean, fast, and reliable code using C++ and Python.

What we're looking for

• Experience with computer vision for photon-efficient or event-driven imaging systems.
• 5+ years of programming experience in C++ and Python (e.g., PyTorch, TensorFlow).
• A Bachelor's degree plus 5 years of relevant experience, a Master's plus 4 years, or a PhD plus 2 years of experience.
• A track record of successful projects demonstrating computer vision skills in photon-efficient or event-based imaging.
• Solid foundation in computer vision, machine learning, and statistical signal processing.
• Strong math background including 3D geometry, probability, statistics, and linear algebra.
• Ability to transform ideas into clean, fast, and reliable code.
• Outstanding problem-solving skills and strong communication abilities.