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  4. Research CV and Machine Perception PhD Internship 2022
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The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Vision team is looking for the next generation of scientists and engineers to tackle the most ambitious problems in machine perception.

In this internship, you will not only work on the forefront research topics present in academia and industry, but beyond you will work with a team invested in building the complete stack from sensor design to state estimation and tracking to 3D reconstruction to novel scene representations.

Our internships are 12-16 weeks long and you have the option to start at various dates throughout the year.

Research Intern, CV and Machine Perception (PhD) Responsibilities

  • Research, develop and prototype advanced software technologies in the domain of SLAM, visual localization, tracking, (neural) rendering, 3D reconstruction, 3D object detection and 3D scene understanding
  • Design and execution of novel algorithms
  • Prototyping, building and analysis of experimental systems
  • Collaboration with and support of other researchers across various disciplines
  • Communication of research agenda, progress and results

Minimum Qualifications

  • Currently has, or is in the process of obtaining, a PhD in the field of Computer Science, Computer Vision, Machine Learning, Robotics, Physics or related field
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Must be available for 12-16 weeks internship between January 1, 2022 and December 31, 2022
  • Experience in Deep Learning, 3D geometry, rendering or physics based simulation
  • Experience in 3D scene understanding
  • Experience in PyTorch
  • Interpersonal experience: cross-group and cross-culture collaboration

Preferred Qualifications

  • Intent to return to degree-program after the completion of the internship
  • Experience in RGB and RGB-D indoor scene reconstruction, 3D scanning, or object reconstruction
  • Experience in working with rendering applications as OpenGL, DirectX, Vulkan or WebGL
  • Experience working on modern deep-learning methods for self-supervised learning, neural rendering, graph neural networks, GANs, reinforcement learning, domain adaptation, 3D object detection, etc.
  • Broad understanding of 3D geometry, 3D shape representations and scene graphs
  • 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, BMVC, NeurIPS, ICML, ICLR or SIGGRAPH
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)