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Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging

Snap Inc.· Spectacles Computer Vision Team
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Londonfull-timePosted 3w ago

About the role

Role focused on photon-efficient, event-driven imaging for ultra-low-light and high-temporal-resolution imaging, developing ML and CV algorithms for next-generation AR wearables. Based in London, full-time.

Responsibilities

  • Design, train, and deploy machine learning models and computer vision algorithms tailored for photon-efficient, event-driven imaging systems
  • Contribute to state-of-the-art tracking, depth estimation, and SLAM and ML systems leveraging high-temporal-resolution event-driven data
  • Develop novel photon-efficient imaging features and algorithms for the next generation of AR Glasses
  • Research new machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy of computer vision algorithms in photon-efficient, event-driven imaging systems
  • Work with our computer vision team to deliver next-generation detection (such as face, hand, body etc.) technology for augmented reality systems

Qualifications

  • BSc/MSc with 3+ years of relevant experience from industry in computer vision for photon-efficient or event driven imaging
  • Experience with photon-efficient or event-driven imaging systems
  • Track record of successful projects showing computer vision skills
  • 3+ years of programming experience in C++ and Python (e.g. PyTorch, TensorFlow)

Skills

Required:Photon-efficient, event-driven imaging knowledgeComputer vision, machine learning, statistical signal processing3D geometry, probability, statistics, linear algebraCode quality and implementationAttention to detail and communicationProblem solving

Benefits

  • Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Snap Inc.

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

We believe the camera presents the greatest opportunity to improve the way people live and communicate.

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