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Research Scientist - Generative AI Computational Photography, Reality Labs
MetaBurlingame, United Statesfull_timeVerifiedPosted 12 Jun 2025
💰 $208,000/yr($147,000/yr – $208,000/yr)
About the role
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.Research Scientist - Generative AI Computational Photography, Reality Labs Responsibilities
$147,000/year to $208,000/year + bonus + equity + 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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form
- 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.
- 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
- 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
- Experience as a software engineer through internships, work experience, coding competitions, or contributions to widely used open-source repositories (e.g., GitHub)
- Solid mathematical foundation and understanding of numerical optimization, linear algebra, and probabilistic estimation
$147,000/year to $208,000/year + bonus + equity + 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.
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form
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