META is hiring: Research Scientist - Generative AI Computational Photography, Re

Research Scientist - Generative AI Computational Photography, Reality Labs

Join to apply for the Research Scientist - Generative AI Computational Photography, Reality Labs role at Meta

Research Scientist - Generative AI Computational Photography, Reality Labs

Join to apply for the Research Scientist - Generative AI Computational Photography, Reality Labs role at Meta

This range is provided by Meta. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

Base pay range

$147,000.00/yr - $208,000.00/yr

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:

• 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
  
  

Minimum Qualifications:

• 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
  
  

Preferred Qualifications:

• 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
  
  

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 todaybeyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

$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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Technology, Information and Internet

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