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24.11.2021

Computer Vision & Machine Learning Engineer

  • 8057Zurich
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Facebook ermöglicht die Erstellung von privaten Profilen zur Darstellung der eigenen Person, von Unternehmensseiten zur geschäftlichen Präsenz, sowie von Gruppen zur privaten Diskussion gemeinsamer Interessen.

Facebook ermöglicht die Erstellung von privaten Profilen zur Darstellung der eigenen Person, von Unternehmensseiten zur geschäftlichen Präsenz, sowie von Gruppen zur privaten Diskussion gemeinsamer Interessen.

Computer Vision & Machine Learning Engineer

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.
LocationsAbout the Facebook company Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

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8057Zurich

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