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Open nowFirst seen 5 hours ago

Computer Vision Engineer Intern, Advanced Manufacturing (Reality Labs)

Meta1,114 open roles

Where
Sunnyvale, CA
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Your applicationOpen nowComputer Vision Engineer Intern, Advanced Manufacturing (Reality Labs)Meta · Sunnyvale, CA

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The clock on this job

Early applications get read.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.9%30 days
This job: first seen 5 hours ago

Meta median: 35 days open

The posting

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.

Minimum 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

Preferred Qualifications

  • 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

US: $6,688/month to $11,880/month

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