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
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We would love to welcome a new Photon-Efficient CV & ML Engineer for AR Wearables to our group in Greater London, England, United Kingdom.
This posting is for the Photon-Efficient CV & ML Engineer for AR Wearables role at SNAP, Inc., based in Greater London, England, United Kingdom.
We are looking to fill the Photon-Efficient CV & ML Engineer for AR Wearables position at SNAP, Inc. in Greater London, England, United Kingdom.