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Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging
Snap Inc.
London, GBR
Full-time
Mid · 3+ years experience
Onsite
Discovered 1 weeks ago
pythonpytorchtensorflow
Key Skills for This Role
pythonpytorchtensorflow
Full Job Posting
Minimum Qualifications
- 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)
- If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
- "Default Together" Policy at Snap: 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.
- At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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.
- 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!
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
- Work with our computer vision team to deliver next-generation detection (such as face, hand, body etc.) technology for augmented reality systems
- 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
About Snap Inc.
Software & SaaS5261 employeesFounded 2011
Technology company focused on augmented reality and communication.
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