As a Computer Vision & ML Engineer on the Spectacles team in London, you will help advance photon-efficient, event-driven imaging for next-generation AR wearables. You’ll collaborate with Snap’s hardware and software groups to design and deploy ML models and CV algorithms, contributing to tracking, depth estimation, and SLAM in high-temporal-resolution data. This role blends cutting-edge imaging research with practical implementations to enable camera-first experiences. You join a world-class team shaping wearable computing and AR glasses.
Pay / Benefits
paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages linked to Snap’s long-term success
Responsibilities
Design, train, and deploy machine learning models and CV algorithms for photon-efficient, event-driven imaging systems
Advance tracking, depth estimation, and SLAM using high-temporal-resolution event-driven data
Develop novel photon-efficient imaging features for AR glasses
Explore ML and probabilistic techniques to boost speed, noise robustness, and accuracy of CV systems
Contribute to detection capabilities (face, hand, body) for AR systems
Key requirements
5+ years of post-Bachelor’s relevant experience; or Master’s degree + 4+ years; or PhD + 2 years
Experience with computer vision for photon-efficient or event-driven imaging systems (e.g. VIO, SLAM, Hand tracking)
5+ years programming in C++ and Python (e.g. PyTorch, TensorFlow)
Strong foundation in CV, ML, and statistical signal processing
Solid math background in 3D geometry, probability, statistics, and linear algebra
Ability to translate ideas into clean, fast, reliable code
Attention to detail and strong communication; outstanding problem-solving skills
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