Meta
Computer Vision Engineer, Reality Labs
$154K–$217K
Redmond, WA +1 · Full-time · Posted Jun 25, 2026
- Location
- Redmond, WA
Burlingame, CA - Experience
- 3+ years developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Develop computer vision and perception algorithms and calibration systems for Reality Labs’ AR/VR products, from research and prototyping through production.
What you'll do
- Design and develop factory and online calibration algorithms for sensors and displays, and prototype calibration automation.
- Collaborate with Reality Labs and FAIR teams on computer vision, machine learning, and graphics research and development.
- Define projects for other engineers and contribute to engineering practices, code quality, and team technical culture.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems.
- Experience engineering in C++.
- Prototyping and engineering experience in at least one relevant specialization: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, or Structure-From-Motion.
Nice to have
- MS or PhD in Computer Science, Computer Vision, Robotics, or a related technical field.
- Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, or IROS; or industry project experience in the listed specialization areas.
Pay
$154,003/year to $217,000/year USD base salary; bonus and equity amounts not specified
Tools
C++, Computer Vision, machine learning, SLAM, 3D graphics, Camera Calibration, Sensor Fusion, 3D Reconstruction
AI focus
Research and apply computer vision and machine learning techniques for AR/VR, including machine perception, calibration, and real-time image processing.
Model-written summary · the original posting is authoritative