Computer Vision Engineer
Snap Inc.
- London, England, United Kingdom
- London, England, United Kingdom
Über
at
Snap Inc.
Snap Inc is a technology company. We believe 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’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together. The Spectacles team is looking for a Computer Vision Engineer to join the AR team at Snap inc!
What you’ll do
Work on state-of-the-art machine learning and 3D computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap’s wearable computing devices.
Collaborate closely with other Spectacles software and hardware teams around the world.
Develop and productise novel technologies for the next generation of wearable AR devices.
Explore and advance state-of-the-art machine learning and computer vision algorithms.
Develop and deploy machine learning models.
Work together with cross‑functional engineering and research teams in computer vision, machine learning and AR engineering.
Knowledge, Skills & Abilities
Deep understanding in one of:
Machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks
3D computer vision principles, SLAM, VIO, or 3D localisation
Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
Strong communications and interpersonal skills.
A genuine passion for learning new things and helping colleagues improve.
Minimum Qualifications
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience.
Experience of post‑Bachelor’s computer vision/machine learning experience; or Master’s degree in a technical field + experience of post‑grad computer vision/machine learning experience; or PhD in a relevant technical field with some experience of post‑grad computer vision/machine learning experience.
One of:
Experience in developing machine learning models for at least one of the following areas: geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation.
Experience in geometric computer vision such as SLAM, VIO, Tracking, multi‑view 3D reconstruction, Depth Estimation etc.
Preferred Qualifications
MSc/PhD in related field (Computer Vision, Machine Learning)
Experience in integrating Machine Learning models into Augmented Reality solutions.
Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource‑constrained devices.
Experience with software development in C++.
Location: London, England, United Kingdom
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.
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!
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.
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Sprachkenntnisse
- English
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