1 day ago
London, United KingdomMid Level
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 other machine learning systems using high-temporal-resolution event-driven data.
- Create novel photon-efficient imaging features and algorithms for next-generation AR glasses.
- Research machine learning and probabilistic techniques to improve computer vision speed, noise robustness, and accuracy.
- Deliver detection technology for faces, hands, bodies, and other augmented reality use cases.
Requirements
- BSc or MSc with 3+ years of relevant industry experience in computer vision for photon-efficient or event-driven imaging.
- Experience with photon-efficient or event-driven imaging systems.
- A track record of successful projects demonstrating computer vision skills.
- 3+ years of programming experience in C++ and Python, including tools such as PyTorch and TensorFlow.
- Strong knowledge of computer vision, machine learning, statistical signal processing, 3D geometry, probability, statistics, and linear algebra.
- Ability to develop clean, fast, and reliable code, along with strong problem-solving and communication skills.
Benefits
- Paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages tied to Snap’s long-term success.
- Based in the London office with a default-together expectation of working in person at least 4 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.