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

Job Title: Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging Company: Snap Inc. Job Category: Machine Learning Roles & Responsibilities: 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. As a Computer Vision \& Machine Learning Engineer on this team, you’ll work on solving 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. We work on wearables and look to push the boundaries of what is possible. Working from our London office, you will be collaborating closely with other Snap hardware and software teams around the world. * 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 * Work Location: London, ENG, UK Availability: Full time

Minimum Qualifications * 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 \+ 1 year of 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) Our Benefits : Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. 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! Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Computer Vision Salary: Not disclosed