**Summary:** 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. **Required Skills:** Research Scientist - Generative AI Computational Photography, Reality Labs Responsibilities: 1. 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. 2. Publish research findings in top-tier journals and present at leading international conferences. 3. Collaborate with cross-functional teams throughout the project lifecycle, from initial research to prototyping and deployment. 4. Work closely with product partners to integrate research outcomes into Meta's products, enhancing user experiences. **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. PhD in Computer Vision, Machine Learning, or a related field, with a focus on Generative AI and image restoration 7. Advanced background in designing machine learning algorithms, including experience with training and inference of novel ML architectures 8. Proven experience in cross-functional collaboration and teamwork **Preferred Qualifications:** Preferred Qualifications: 9. 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 10. Experience as a software engineer through internships, work experience, coding competitions, or contributions to widely used open-source repositories (e.g., GitHub) 11. Solid mathematical foundation and understanding of numerical optimization, linear algebra, and probabilistic estimation **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.