Meta
Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs)
Sunnyvale, CA · Internship · Posted Oct 14, 2026
- Education
- Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics or a related field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Build and deploy computer vision systems for defect detection, CAD-to-part comparison, machine monitoring, and live visibility across Meta’s Reality Labs prototyping shop.
What you'll do
- Train models to detect defects and anomalies in manufactured parts and evaluate performance on real lab data.
- Develop image- and 3D-scan-based methods to identify parts and compare them with CAD models; prototype camera monitoring for machines.
- Deploy camera systems and build tools for training-data generation, including synthetic images and automated capture rigs.
What they ask for
- Currently pursuing a Bachelor's, Master's or PhD degree in a listed or related field.
- Computer vision or deep learning experience through coursework, research or projects.
- Python programming experience with a deep learning framework such as PyTorch; experience with image processing libraries such as OpenCV.
- Intent to return to a degree program after the internship; must obtain and maintain work authorization in the country of employment.
Nice to have
- 3D vision, networked-camera deployment or real-time model experience; synthetic training data or anomaly-detection experience.
- Projects in industrial inspection, robotics or machine monitoring; cross-disciplinary shop-floor experience; familiarity with CAD tools and 3D file formats.
Pay
$6,688/month to $11,880/month
Tools
Python, PyTorch, OpenCV, IP cameras, RTSP streams, NVIDIA Jetson, Blender, Fusion 360, SolidWorks, NX, STEP, STL
AI focus
Develop and deploy computer vision and deep learning systems for defect and anomaly detection, part-to-CAD matching, machine monitoring, and synthetic training-data generation.
Model-written summary · the original posting is authoritative