Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging role.

Rezi rewrites your resume against Snap Inc.'s job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Computer Vision & Machine Learning Engineer, Photon-Efficient Event-Driven Imaging posting at Snap Inc. — free, in seconds.

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.
Work with the computer vision team to deliver next-generation detection 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.
Experience with computer vision for photon-efficient or event-driven imaging systems (e.g. VIO, SLAM, Hand tracking).
Track record of successful projects showing computer vision skills in photon efficient or event-based imaging.
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

Skills

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

Location

London

Work Type

Onsite (4+ days per week)

Experience Level

5+ years of post-Bachelor’s relevant experience
Master’s degree in a technical field + 4+ years of relevant post-grad experience
PhD in a relevant technical field + 2 years of relevant experience
5+ years of programming experience in C++ and Python

Education Level

Bachelor's degree
Master's degree in a technical field
PhD in a relevant technical field

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. 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 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.
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.

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.