Overview

The Spectacles team is looking for a Machine Learning Engineer to join the AR team in London, UK. Working from our London office, you will collaborate closely with other Spectacles software and hardware teams around the world to push the boundaries of wearable AR devices.

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 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 degree in computer vision/machine learning; or a Master's degree in a technical field with extensive post-grad computer vision/machine learning experience; or a PhD in a relevant technical field with four 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++.

Accommodations

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: At Snap, we expect our team members to work in an office 4+ days per week as part of our culture of collaboration.

Equal Opportunity Employer: Snap is proud to be an equal opportunity employer, and is 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.

Benefits: Snap is proud to offer benefits including paid parental leave, medical coverage, mental health resources, and compensation packages that align with Snap's long-term goals.