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About the Role

The Spectacles Computer Vision Team works to solve important challenges in Computer Vision, Machine Learning, and Augmented Reality. As a Computer Vision & Machine Learning Engineer, you will solve tough challenges in ultra-low-light and high-temporal-resolution imaging, developing novel algorithms for photon-efficient, event-driven imaging systems for the next generation of wearable devices. You will work on wearables and push the boundaries of what is possible, collaborating closely with other Snap hardware and software teams globally.

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.
Deliver next-generation detection (such as face, hand, body etc.) technology for augmented reality systems.

Requirements

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.
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

Computer Vision
Machine Learning
Augmented Reality
Photon-efficient imaging
Event-driven imaging systems
Statistical signal processing
3D geometry
Probability
Statistics
Linear algebra
C++
Python
PyTorch
TensorFlow

Location

London

Work Type

Hybrid

Experience Level

3+ years of relevant experience

Education Level

BSc/MSc

Benefits

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support programs
Compensation packages that let you share in Snap’s long-term success

About the Company

Snap Inc. is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate.
Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.
The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
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.

Equal Opportunity

Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
EOE, including disability/vets.