Computer Vision Engineer

Posted 3 Hours Ago
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London, Greater London, England, GBR
Hybrid
Junior
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Snap is a technology company.
The Role
Design and deploy state-of-the-art computer vision and machine learning algorithms for next-generation Spectacles. Develop, debug, and improve CV/ML code and models, run experiments and metrics, and collaborate with cross-functional CV, ML, and graphics teams to integrate solutions into AR products.
Summary Generated by Built In

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.


Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!


We’re looking for a Computer Vision Engineer to join the Spectacles team!


What you’ll do:

  • Develop novel technologies for the next generation of Spectacles.
  • 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 graphics.

Knowledge, Skills & Abilities:

  • Strong foundations in computer vision, machine learning, multi-view geometry
  • Ability to understand, debug and improve existing code as well as develop new algorithms using computer vision and machine learning techniques.
  • Strong problem-solving, debugging, and communication skills
  • Ability to run purposeful experiments and evaluate metrics objectively

Minimum Qualifications:

  • Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience
  • Relevant industry, research, or applied experience in computer vision, machine learning, robotics, or perception
  • Experience programming in C++ or Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow etc.)

Preferred Qualifications:

  • Msc in related field (Computer Vision, Machine Learning)
  • 1+ years of relevant industry or research experience
  • Experience in geometric computer vision such as SLAM, VIO, tracking, multi-view 3D reconstruction, depth estimation or camera/display calibration
  • Experience with eye tracking, gaze estimation, pupil or glint detection
  • Experience with generating and using synthetic datasets for ML training
  • Experience in integrating Machine Learning models into Augmented Reality solutions

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!

Skills Required

  • Bachelor's degree in computer science, mathematics, or a technical field (or equivalent experience)
  • Relevant industry, research, or applied experience in computer vision, machine learning, robotics, or perception
  • Experience programming in C++ or Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow etc.)
  • Strong foundations in computer vision, machine learning, and multi-view geometry
  • Ability to understand, debug, and improve existing code and develop new algorithms
  • Strong problem-solving, debugging, and communication skills
  • Ability to run purposeful experiments and evaluate metrics objectively
  • MSc in Computer Vision, Machine Learning or related field
  • 1+ years of relevant industry or research experience
  • Experience in geometric computer vision (SLAM, VIO, tracking, multi-view 3D reconstruction, depth estimation, camera/display calibration)
  • Experience with eye tracking, gaze estimation, pupil or glint detection
  • Experience generating and using synthetic datasets for ML training
  • Experience integrating machine learning models into Augmented Reality solutions

What the Team is Saying

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The Company
HQ: Santa Monica, CA
5,000 Employees
Year Founded: 2011

What We Do

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

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About our Teams

Snap Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
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