Computer Vision Engineer

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 its AR glasses Spectacles.

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 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 be collaborating closely with other Spectacles software and hardware teams around the world.

• 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.

• 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.

• 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 areas such as geometric scene understanding, semantic scene reconstruction, neural scene representation, monocular depth estimation, visual localisation.

• MSc/PhD in Computer Vision or related field.
• 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.
• Experience with software development in C++.

If you have a disability or special need that requires accommodation, please provide information.

Our benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that align with Snap’s long-term success.