Computer Vision Engineer

Snap Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in London is seeking a Machine Learning Engineer to work on cutting-edge AR devices. This position requires a strong background in machine learning and computer vision, with responsibilities including model development and collaboration with cross-functional teams. The ideal candidate holds a relevant degree and has extensive experience in these fields. The role offers competitive benefits and emphasizes diverse and inclusive workplace practices.

Benefits

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support programs

Qualifications

• Bachelor’s Degree in a relevant field or equivalent experience.
• Extensive experience in computer vision or machine learning.
• Experience developing machine learning models for scene understanding.

Responsibilities

• Develop and productise novel technologies for AR devices.
• Explore and advance machine learning algorithms.
• Collaborate with cross-functional engineering teams.

Skills

Machine learning principles

Computer vision algorithms

Strong communication skills

Debugging and code improvement

Education

Bachelor’s Degree in a relevant technical field

MSc/PhD in related field (Computer Vision, Machine Learning)

Tools

C++

Job description

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 core products are Snapchat a visual messaging app that enhances relationships with friends and family; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and Spectacles, our AR glasses.

The Spectacles Team

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.

Machine Learning Engineer – London, UK

In this role you will work 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 collaborate 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 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++.

Accessibility Commitment

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

Inclusive Workplace

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 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!