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Research Engineer, University Grad

University Grad - Engineering, Tech & Design | Pittsburgh, PA

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 are working towards 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 Research Engineer at FRL Pittsburgh, you will be solving challenges at the forefront of computer vision and machine learning. You will as a bridge between world-class researchers and engineers, collaborating together on the innovation necessary to make that vision a reality. You will be expected to engineer solutions to problems in computer vision, audio processing, and machine learning. We want people who work well across disciplines, are excited about getting research prototypes to really work, and are excited to work in new technology areas.


  • In this role, you will develop new algorithms to reconstruct, track, and model human behavior. You will be expected to contribute in one or more of the following ways:
  • -Work alongside researchers and SW engineers to develop algorithms for reconstruction, detection, tracking, and representation of human shape, appearance, and motion
  • -Create baselines and evaluate performance of systems against them
  • -Develop real-time systems for analyzing human behavior
  • -Develop robust algorithms and systems for integrating multiple sensors and modalities
  • -Attend computer vision conferences, publish and present papers in international conferences and journals

Minimum Qualifications

  • 2+ years experience with C++
  • 2+ years experience in CV/ML, & computer vision/machine learning libraries
  • Experience with machine learning, filtering, information theory, and 3D geometry
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

  • MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related field

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