Photon-Efficient CV & ML Engineer for AR Wearables

SNAP, Inc. in London is seeking a Computer Vision & Machine Learning Engineer to tackle challenges in ultra-low-light, high-temporal-resolution imaging for wearable AR devices.

You will design algorithms and models tailored for photon-efficient, event-driven imaging systems and collaborate across global teams. You will work on tracking, depth estimation, and SLAM, developing features for the next generation of AR glasses, while delivering fast, robust code and contributing to a strong CV/ML