About The Position

Meta Reality Labs is at the forefront of innovation, bringing together a dynamic team of researchers, developers, and engineers dedicated to advancing AR and VR technologies. Our Core AI group is seeking a Research Scientist to tackle cutting-edge research challenges in image restoration using Generative AI methods, such as diffusion and autoregressive approaches. This role aims to push the boundaries of state-of-the-art research in image restoration, enhancing the quality and realism of visual content.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Vision, Machine Learning, or a related field, with a focus on Generative AI and image restoration
  • Advanced background in designing machine learning algorithms, including experience with training and inference of novel ML architectures
  • Proven experience in cross-functional collaboration and teamwork

Nice To Haves

  • Experience as a software engineer through internships, work experience, coding competitions, or contributions to widely used open-source repositories (e.g., GitHub)
  • Demonstrated success in achieving significant research outcomes, evidenced by grants, fellowships, patents, and first-authored publications at leading conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, or SIGGRAPH
  • Solid mathematical foundation and understanding of numerical optimization, linear algebra, and probabilistic estimation

Responsibilities

  • Conduct pioneering research and develop novel Generative AI models, focusing on image restoration tasks such as image and video super-resolution, denoising, deblurring, or frame interpolation
  • Publish research findings in top-tier journals and present at leading international conferences
  • Collaborate with cross-functional teams throughout the project lifecycle, from initial research to prototyping and deployment
  • Work closely with product partners to integrate research outcomes into Meta's products, enhancing user experiences

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Broadcasting and Content Providers

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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