Computer Vision Research Scientist, 3D Humans (PhD University Grad)

Facebook Reality Labs is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the Pittsburgh lab, we aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. As a Computer Vision Research Scientist at FRL Pittsburgh, you will be solving challenges at the forefront of computer vision and machine learning. You will work alongside world-class researchers, engineers, and artists collaborating together on the innovation necessary to make that vision a reality. You will be expected to push forward the frontiers of research and publish your work at leading venues in the field. We want people who work well across disciplines, can brainstorm big ideas, and are excited to work in new technology areas.


  • Prototype novel computer vision algorithms for 3D reconstruction, detection, and tracking of human shape and appearance
  • Build novel prototype capture systems for offline and real-time online systems
  • Develop robust algorithms and systems for integrating multiple sensors and modalities
  • Attend computer vision conferences, publish and present papers in international conferences and journals
  • Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Computer Vision, Computer Graphics, and/or Machine Learning
  • Must be available to start employment on or after July 1, 2018
  • 3+ years experience with C++
  • 3+ years experience in computer vision and machine learning, including computer vision/machine learning libraries
  • GPU programming experience including CUDA and OpenGL
  • Prototyping experience including feature integration
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Able to obtain work authorization in the U.S. beginning in 2018
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with geometric fusion algorithms
  • Experience with multi-view reconstruction and optical flow algorithms
  • Experience with the graphics pipeline
  • Experience in system optimization

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