Computer vision & machine learning engineer in imaging

Snap; Greater London; On-site; GBP 120,000 - 160,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support

Job summary

Snap Inc. is looking for a seasoned researcher to advance computer vision and machine learning for photon‑driven imaging in our Spectacles AR platform. You will design and deploy models, work on tracking, depth estimation, SLAM, and novel imaging features for next‑generation AR glasses.

You will collaborate with a world‑class CV team to push the boundaries of detection and perception in wearable computing, applying state‑of‑the‑art ML techniques to real‑world imaging data.

Qualifications

• Strong foundation in photon‑efficient, event‑driven imaging systems is required.
• Solid background in computer vision, ML, and statistical signal processing.
• Deep understanding of 3D geometry, probability, statistics, and linear algebra.

Responsibilities

• Design, train, and deploy ML models and CV algorithms for photon‑efficient imaging.
• Contribute to tracking, depth estimation, and SLAM systems using event‑driven data.
• Develop novel imaging features for AR glasses.
• Research ML/probabilistic techniques to improve speed and accuracy.
• Collaborate with CV team on next‑gen face, hand, and body tracking tech.

Skills

C++

Python

PyTorch

TensorFlow

Computer Vision

Machine Learning

SLAM

VIO

Code quality

Education

Bachelor's degree in a technical field

Master's degree in a technical field

PhD in a relevant technical field

Tools

PyTorch

TensorFlow

3D geometry

Job description

Описание

Snap’s Spectacles unit is a world-class Research & Development team, working together to pave the way for the future of the camera and wearable computing. We’re working on cutting-edge capture and AR solutions and are inventing new ways in which computing will be overlaid on the world around us. The Spectacles Computer Vision Team works to solve some of the most important challenges in Computer Vision, Machine Learning, and Augmented Reality.

Задачи

• 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

Требования

• Solid foundation in photon‑efficient, event‑driven imaging systems
• Solid foundation in computer vision, machine learning, and statistical signal processing
• Solid math background with deep understanding of 3D geometry, probability, statistics, and linear algebra
• Ability to transform ideas into clean, fast and reliable code
• Attention to detail, strong desire for quality and good communication skills
• Outstanding problem solving skills
• Experience with computer vision for photon‑efficient or event‑driven imaging systems (e.g. VIO, SLAM, Hand tracking)
• 5+ years of post‑Bachelor’s relevant experience; or Master’s degree in a technical field + 4+ years of relevant post‑grad experience; or PhD in a relevant technical field + 2 years of relevant experience
• Track record of successful projects showing computer vision skills in photon efficient or event‑based imaging
• 5+ years of programming experience in C++ and Python (e.g. PyTorch, TensorFlow)

Условия

At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 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!