Computer Vision Engineer, Reality Labs

Meta Meta · Big Tech · Redmond, WA

Computer Vision Engineer for Meta's Reality Labs, focusing on AR/VR products. Responsibilities include researching and developing software, computer vision, and machine learning techniques for real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, and human interaction. The role involves designing calibration algorithms, collaborating with cross-functional teams, and contributing to engineering best practices. Requires a Bachelor's degree in a relevant field, 3+ years of experience in Computer Vision/Perception for Robotics, C++ engineering, and expertise in areas like Camera Calibration, State Estimation, or 3D Reconstruction. An MS or PhD and a publication track record at top conferences are preferred.

What you'd actually do

  1. Design and develop novel factory and online calibration algorithms for sensors and displays.
  2. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
  3. Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
  4. Participate in cutting edge research in computer vision that can be applied to AR/VR product development
  5. Define projects for other engineers to achieve impact based on your direction

Skills

Required

  • C++
  • Computer Vision algorithms
  • Perception algorithms for Robotics
  • Camera Calibration
  • Online Calibration
  • State Estimation
  • Sensor Fusion
  • 3D Reconstruction
  • Camera Pose Estimation
  • Structure-From-Motion

Nice to have

  • MS degree in Computer Science, Computer Vision, Robotics or a related technical field
  • PhD degree 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, IROS, etc
  • Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion

What the JD emphasized

  • Computer Vision
  • Perception algorithms for Robotics
  • Camera Calibration
  • Online Calibration
  • State Estimation
  • Sensor Fusion
  • 3D Reconstruction
  • Camera Pose Estimation
  • Structure-From-Motion
  • publication track record

Other signals

  • computer vision
  • machine learning
  • AR/VR
  • robotics