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Research Scientist Intern, Computational Photography & Computer Vision

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Meta

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Location:
United States , Redmond

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

7313.00 - 12134.00 USD / Month
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Job Description:

Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in designing, modeling, and prototyping advanced vision systems for real-time, low-power, always-on processing. The goal of this role is to optimize the full-stack vision system spanning from the image sensor, device processors, cloud computation, and corresponding algorithms. Ideal candidates will have a comprehensive understanding of computational imaging, distributed computation, computer vision, and machine learning algorithms. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Job Responsibility:

  • Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks
  • Participate in the development of proof of concept and prototype visual sensing systems
  • Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware

Requirements:

  • Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, Machine Learning, Computer Architecture, or related field
  • 2+ years of coding experience with programming languages such as Python/Pytorch
  • Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization
  • Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Nice to have:

  • Experience with lightweight machine learning on embedded systems, including model optimization and deployment
  • Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms
  • Proven track record of achieving significant results in CV and ML research, as demonstrated by publications, grants, or fellowships
  • Intent to return to degree-program after the completion of the internship/co-op

Additional Information:

Job Posted:
January 23, 2026

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