Company: Snap
Location: London
Job Description:
Overview
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
- Attention to detail
- Clear communication
- Problem-solving
- Photon-efficient, event-driven imaging
- Computer vision and machine learning
- VIO/SLAM/Hand tracking
…
Posted: October 1st, 2026