The Reality Labs Prototyping team builds the physical hardware behind Meta's XR and wearables research: CNC-machined, 3D-printed and molded parts, made in-house on fast turnarounds. We're looking for a computer vision intern to bring perception into the lab. That means catching defects before parts ship, confirming a part matches its CAD model, spotting trouble on a machine before it crashes, and giving the team a live view of the shop floor. You'll work with manufacturing engineers, machinists and software engineers, and your work will run on real machines and real parts.
Responsibilities
- Build and train models that detect anomalies and defects in machined and printed parts from camera images.
- Develop methods that match captured images or 3D scans of physical parts to their source CAD models, to identify parts and compare what was built against what was designed.
- Prototype camera monitoring for CNC machines and 3D printers that catches setup errors, tool or fixture collisions and failing prints early enough to stop the machine.
- Deploy and maintain networked camera systems across the lab, covering capture, storage and the pipeline from camera to model.
- Build tools that generate and augment training data, including synthetic images rendered from CAD and automated capture rigs.
- Measure how the models perform on real lab data and share the results with the team.
Qualifications
- Currently has, or is in the process of obtaining, a Bachelor's, Master's or PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Mechatronics, Robotics or a related field
- Computer vision or deep learning experience from coursework, research or projects (detection, segmentation, anomaly detection, pose estimation)
- Experience programming in Python 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 work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment 3D vision experience: point clouds, depth cameras, multi-view geometry, or aligning scans to CAD models
- Experience deploying cameras on a network (IP cameras, RTSP streams, edge devices such as NVIDIA Jetson) or running models in real time
- Experience generating synthetic training data (Blender, rendering from CAD, domain randomization)
- Experience with anomaly detection when there are few or no examples of defects
- Projects in industrial inspection, robotics or machine monitoring
- Comfortable working across disciplines, including hands-on with machinists on a shop floor
- Familiarity with CAD tools (Fusion 360, SolidWorks, NX) and 3D file formats such as STEP and STL