Snap Inc. is seeking a Computer Vision & Machine Learning Engineer for photon-efficient, event-driven imaging, based in our London office.
You’ll design, train, and deploy CV/ML models tailored to low-light, high-temporal-resolution data, collaborating with global hardware and software teams to push wearable AR capabilities. You’ll tackle tracking, depth estimation, and SLAM, advancing feature algorithms for next-generation AR glasses.
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The following role is for a AR Wearables: Photon-Efficient CV & ML Engineer with Snap Inc.
We would love to welcome a new AR Wearables: Photon-Efficient CV & ML Engineer to our organisation in Greater London, England, United Kingdom.
For the AR Wearables: Photon-Efficient CV & ML Engineer position at Snap Inc., we are reviewing applications now.
Step into the AR Wearables: Photon-Efficient CV & ML Engineer role at Snap Inc. in Greater London, England, United Kingdom and grow with us.