Research Scientist Intern, Generative AI/3D Scene Understanding (PhD)

Meta Platforms, Inc.
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Job Description

  • Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, object tracking and localization, as well as 3D scene understanding.
  • Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems.
  • Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale long-duration sensing and machine reasoning.

Minimum Qualifications

  • Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, 3D machine perception or machine learning.
  • Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision.
  • Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation.
  • Experience working within Python environments such as pytorch.
  • Experience working in a Unix environment.
  • 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 workshops or conferences such as CVPR, ECCV/ICCV, BMVC, ICRA, IROS, or RSS.
  • Strong track-record of published research in the fields of Object Tracking / Detection / Segmentation or 3D semantic Scene Understanding / Reconstruction.
  • Strong programming experience in C++.
  • 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.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

$7,650/month to $11,333/month + benefits

 Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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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