1 day ago
London, United KingdomMid Level / Senior
Responsibilities
- Design, train, and deploy machine learning models and computer vision algorithms for photon-efficient, event-driven imaging systems.
- Develop tracking, depth estimation, SLAM, and detection systems using high-temporal-resolution event-driven data.
- Create novel imaging features and algorithms for next-generation AR Glasses.
- Research machine learning and probabilistic techniques to improve speed, noise robustness, and accuracy.
- Collaborate with computer vision, hardware, and software teams worldwide.
Requirements
- Experience with computer vision for photon-efficient or event-driven imaging systems, such as VIO, SLAM, or hand tracking.
- Five or more years of post-bachelor’s relevant experience, or a master’s degree plus four or more years of relevant postgraduate experience, or a PhD plus two or more years of relevant experience.
- A track record of successful computer vision projects involving photon-efficient or event-based imaging.
- Five or more years of programming experience in C++ and Python, including tools such as PyTorch or TensorFlow.
- Strong foundations in computer vision, machine learning, statistical signal processing, 3D geometry, probability, statistics, and linear algebra.
- Ability to produce clean, fast, and reliable code, with strong problem-solving, communication, and quality focus.
Benefits
- Paid parental leave.
- Comprehensive medical coverage.
- Emotional and mental health support programs.
- Compensation packages providing long-term company participation.
- London office role with Snap’s “default together” policy requiring in-person work four or more days per week.
Categories
About Snap
Snap Inc. builds Snapchat, a visual messaging app, and supports augmented reality through Lens Studio and Spectacles, plus related services like Bitmoji. The company monetizes primarily via advertising and sponsored AR experiences for consumers, creators, and brands. Founded in 2011 and headquartered in Santa Monica, it is publicly traded on the NYSE under the ticker SNAP.