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.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.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 STLMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .
| Location | Sunnyvale, CA |
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