Overview

Snap Inc is a technology company focused on camera-driven communication. The company’s core products are Snapchat, Lens Studio, and Spectacles. The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world, with fifth-generation Spectacles powered by Snap OS.

The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK. In this role, you will work on state-of-the-art machine learning and computer vision technologies to bridge the real and virtual worlds with the next generation of Snap’s wearable computing devices. You will be collaborating closely with other Spectacles software and hardware teams around the world, from our London office.

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++.

Accommodation

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information. https://docs.google.com/forms/d/e/1FAIpQLScV7t31iR3yYR9ztGDHJpbvL63svWpb6s0afkBkLEjGnDx4Kg/viewform

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.

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