Photon-Efficient CV/ML Engineer for AR Wearables

SNAP, Inc.; Greater London; On-site; GBP 100,000 - 140,000; Full time

Benefits offered by this job

Parental leave

Comprehensive medical coverage

Long-term incentive plan

4+ days in office

Job summary

Snap Inc in London is seeking a senior Computer Vision / ML Engineer to design, train and deploy ML models for photon-efficient, event-driven imaging used in AR glasses. You will collaborate with hardware and software teams to push the boundaries of wearables.

The role requires a track record in CV, ML, 5+ years in C++ and Python, and a strong math background. We offer a London office, competitive compensation and benefits.

Qualifications

• 5+ years of post-Bachelor’s experience in computer vision or ML for imaging.
• Track record of projects in photon-efficient or event-driven imaging.
• 5+ years of programming in C++ and Python (PyTorch, TensorFlow).

Responsibilities

• Design, train, and deploy ML models and CV algorithms for photon-efficient, event-driven imaging.
• Contribute to tracking, depth estimation, SLAM, and ML systems for AR wearables.
• Research photon-efficient imaging features and ensure robust, fast code.

Skills

Photon-efficient imaging

Event-driven imaging

Computer vision

Machine learning

3D geometry / linear algebra

C++ programming

Python programming

PyTorch

TensorFlow

Education

Master's degree in a technical field

PhD in a relevant technical field

Tools

PyTorch

TensorFlow

Job description

Snap Inc in London is seeking a senior Computer Vision / ML Engineer to design, train and deploy ML models for photon-efficient, event-driven imaging used in AR glasses. You will collaborate with hardware and software teams to push the boundaries of wearables.

The role requires a track record in CV, ML, 5+ years in C++ and Python, and a strong math background. We offer a London office, competitive compensation and benefits.