Research Scientist Intern, Human Understanding (PhD)

Meta Platforms, Inc.
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Job Description

Towards this mission, the Reality Labs (RL) team is helping people around the world to come together and connect through world-class AR/VR hardware and software. We are seeking exceptional Research Interns to join the RL XR People team and create a revolution in VR/AR: achieving true photorealistic telepresence. XR People is an organization focused on productizing novel human understanding technologies on VR/AR devices (for example we shipped face and body tracking technologies on Quest Pro). Through understanding of human appearance, movement and expression, the XR People team enables immersive new experiences that bring people closer together and enhance the way we interact with each other and computers.

Available projects may include, but are not limited to:

  • Neural Rendering for photo realistic avatars
  • High quality reflectance fields using a mobile phone scan
  • Domain adaptation
  • 3D generative models
  • Geometry and texture for hands, especially self-contact cases.
  • Inverse rendering
  • Geometry processing for humans data
  • 3D gaussian splatting
  • Face and body tracking

Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Human Understanding (PhD) Responsibilities

  • Solve real problems in enabling Photorealistic Telepresence.
  • Develop and execute on an R&D agenda related to computer vision, computer graphics or machine learning.
  • Collaboration with and support of other researchers across various disciplines
  • Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).

Minimum Qualifications

  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of Computer Science, Computer Vision, Computer Graphics, Machine Learning, or related field.
  • 2+ years experience with building systems based on Computer Graphics, Computer Vision or Machine Learning methods.
  • 3+ years experience in C++ and Python.-Interpersonal experience: cross-group and cross-culture collaboration
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github).
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to a degree-program after the completion of the internship.
  • Proven track record in tracking and modeling of humans (eyes, face, hands, body, ...) and garments.
  • Proven track record in action and gesture recognition.
  • Proven track record in 3D reconstruction, non-rigid fusion, and volumetric capture (e.g. NeRF, PIFu, ...)
  • Proven track record in Image analysis and synthesis (e.g. GAN, semantic segmentation, lighting estimation...).
  • Proven track record in ML based data compression techniques.
  • Proven track record in Differentiable Rendering.
  • Proven track record in Semi-supervised learning, self-supervised learning, or domain adaptation.

Company Info.

Meta Platforms, Inc.

Meta Platforms (formerly known as Facebook Inc.) is a large technology company that was founded in 2004 by Mark Zuckerberg and several of his college roommates. The company is based in Menlo Park, California, and is primarily known for its flagship social media platform, Facebook. In addition to its consumer-facing products, Meta Platforms also offers a range of advertising and marketing services to businesses and organizations.

  • Industry
    Advertising,Consumer electronics,Social media Company,Artificial intelligence
  • No. of Employees
    76,000
  • Location
    1 Hacker Way, Menlo Park, CA 94025, USA
  • Website
  • Jobs Posted

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