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, Lens Studio, and 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. We are 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 develop next-generation wearable AR devices. You will collaborate with our global teams from our London office. What you'll do:

Develop and productise novel technologies for wearable AR devices. Advance state-of-the-art machine learning and computer vision algorithms. Develop and deploy machine learning models. Collaborate with cross-functional teams in computer vision, machine learning, and AR engineering.

Knowledge, Skills & Abilities:

Deep understanding of machine learning principles, solutions, and frameworks for computer vision tasks. Ability to debug and improve existing code and develop new algorithms using advanced techniques. Strong communication and interpersonal skills. Passion for learning and helping colleagues improve.

Minimum Qualifications:

Bachelor's Degree in a relevant technical field or equivalent practical experience. Extensive post-Bachelor's experience in computer vision/machine learning or equivalent advanced degrees with experience. Experience developing machine learning models in areas like scene understanding, depth estimation, or visual localization.

Preferred Qualifications:

MSc/PhD in related fields. Experience integrating ML models into AR solutions. Experience in neural network optimization for resource-constrained devices. Knowledge of geometric computer vision techniques such as SLAM, VIO, multi-view reconstruction. Proficiency in C++ software development.

If you have a disability or special need requiring accommodation, please let us know. At Snap, we believe in a "default together" policy, requiring team members to work in the office 4+ days a week. We are committed to diversity and equal opportunity employment, welcoming applicants regardless of race, religion, disability, gender, or other protected classes. Our benefits include parental leave, comprehensive medical coverage, mental health support, and opportunities to share in Snap's success. #J-18808-Ljbffr