Computer Vision Engineer

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 , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .

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 , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .

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 Machine Learning Engineer to join the AR team in London, UK! 

In this role, you will be working on state of the art machine learning and computer vision technologies to straddle the boundaries between the real and the virtual world with the next generation of Snap’s wearable computing devices. Working from our London office, you will be collaborating closely with other Spectacles software and hardware teams around the world.

What you’ll do:

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 our cross-functional engineering and research teams in computer vision, machine learning and AR engineering.

Knowledge, Skills & Abilities:

Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks

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

Extensive experience post-Bachelor’s computer vision/machine learning experience; or Master’s degree in a technical field + extensive experience of post-grad computer vision/machine learning experience; or PhD in a relevant technical field + 4 years of post-grad computer vision/machine learning experience

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

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 in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.

Experience with software development in C++

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some .

"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.

: 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!