Snap Inc. in London is seeking a Computer Vision & Machine Learning Engineer to work on photon-efficient, event-driven imaging for the Spectacles program. You will design and deploy models, contribute to tracking and SLAM, and help develop AR features for next-generation glasses.
The role requires deep expertise in CV, ML, and 3D geometry, with strong coding skills in C++ and Python. Join a world-class team based in our London office, collaborating globally across Snap hardware and software.
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AR Vision Engineer - Photon-Efficient ML & SLAM in City of London employer: Snap Inc.
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