Computer Vision & Machine Learning Engineer

Meta black iconMeta Quest
Computer Vision & Machine Learning Engineer
Meta black iconMeta Quest
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Zurich, Switzerland
The FRL organization at Facebook is helping more people around the world come together and connect through world-class Augmented and Virtual reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, AR/VR is committed to driving the state of the art forward through relentless innovation. The potential to change the world is immense - and we’re just getting started. Augmented and Virtual reality will transform the way people come together to work and play. By developing new hardware and software products capable of understanding human appearance, movement and expression, we aim to make it possible for people to feel like they are directly in front of each other, despite being separated by vast distances. In this role, you will be researching and developing state of the art computer vision and machine learning technologies for solving challenges that bridge virtual and real worlds and can impact billions of people. You will be setting technical direction for the projects you work on and will have opportunities to collaborate with researchers in Facebook Reality Labs (FRL) and Facebook AI Research (FAIR). There are lots of exciting and challenging unsolved problems in computer vision and machine learning for AR/VR.
Computer Vision & Machine Learning Engineer Responsibilities
  • Develop creative computer vision and tracking software for a variety of Oculus products
  • Plan and execute cutting-edge research to advance Oculus product development
  • Develop novel real-time 3D scene reconstruction techniques and delivering accurate visual odometry systems
  • Apply machine learning to computer vision problems
  • Perform research that enables modeling and tracking the human body
  • Research and prototype techniques and algorithms for object detection and recognition
  • Develop robust software for integrating multiple sensors and tracking systems
  • Collaborate with HW and SW engineers to develop prototype solutions for tracking, detection and modeling
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD degree or postdoctoral assignment in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
  • 3+ years experience with computer vision – specifically real-time tracking (e.g. of objects, hands, bodies, faces) or 3D reconstruction gained during their PhD
  • 2+ years of experience engineering in C++ or Python including time during their PhD
  • Experience with computer vision/machine learning libraries such as OpenCV, Matlab, or Torch
  • Knowledge in machine learning, Bayesian filtering, information theory, and 3D geometry
Preferred Qualifications
  • Professional industry experience in the field of Computer Vision, Machine Learning, Computer Graphics, Robotics or similar
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, etc.
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About Meta
Meta 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.
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