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Research Scientist Intern, Computational Photography (PhD)

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Research Scientist Intern, Computational Photography (PhD)
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Reality Labs (RL) teams bring together a world-class R&D team of researchers, and engineers to build innovative photo, video, and AR/VR experiences. We work on technologies that ship across all Meta surfaces ranging from Facebook to Instagram to the AR/VR Oculus products. We work at the intersection of Computer Vision, Computer Graphics, and Machine Learning. The aim of this role is to develop and advance the state-of-the-art in computational photography. The goal of the internship is to contribute to a research project and contribute to new methodologies that can be experienced by billions of people around the globe. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Computational Photography (PhD) Responsibilities
  • Research, develop and prototype advanced technologies in the domain of Computer Vision, Computer Graphics, and Machine Learning.
  • Deliver research results that are both publishable and have a direct impact on Facebook and/or Oculus products.
  • Analyze the efficiency, accuracy, scalability, and stability of currently deployed technologies to identify opportunities for impact through novel research.
  • Collaborate with team members throughout the lifetime of a project, from research to prototyping to deploying products.
Minimum Qualifications
  • Currently is in the process of obtaining a PhD degree in computer science, electrical engineering, or related fields
  • Must obtain full-time work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment for a minimum of 12 weeks.
  • 1+ year of experience in one or more areas of Computer Science, such as Computer Vision, Machine Learning, Computer Graphics, Image Processing, and Computational Photography.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as co-authored publications at top-tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, SIGGRAPH Asia, NeurIPS, ICLR, ICML, etc.
  • 2+ years of experience with modern C++ and/or Python.
  • 1+ year of experience with deep learning frameworks such as PyTorch.
Preferred Qualifications
  • Intent to return to their degree program after the completion of the internship
  • Interpersonal experience: cross-group and cross-culture collaboration.
  • Strong communication skills and ability to convey research ideas to a broad audience.
  • Broad understanding of the full machine vision pipeline from sensors to high-level algorithms.
  • Mathematical background and understanding of linear algebra, numerical optimization, probabilistic estimation, Understanding of 3D geometry
  • Relevant research or software engineering work experiences, including internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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About Meta
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.
$7,500/month to $11,333/month + benefits

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