Codec Avatars Research Scientist

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Codec Avatars Research Scientist
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Meta Reality Labs - Research (RLR) is dedicated to the research and development required to bring virtual and augmented reality to billions of people around the world. At the Codec Avatar lab, we aspire to a vision of social VR and AR, where people are able to interact with each other across distances in a way that is indistinguishable from in-person interactions. This role is primarily centered on the generation of our codec avatars from images or videos captured in real-world scenarios. This involves training large-scale universal prior models using over a billion images and videos, and then applying these models to any new image or video to swiftly generate realistic codec avatars. As part of this role, you will collaborate with a team of research engineers, research scientists, and software engineers to pioneer research in the field of digital humans. You will work with some of the largest machine learning training datasets in the world, supported by an advanced cluster of thousands of GPUs. You will be responsible for designing and conducting research experiments, contributing significantly to our mission of digitizing every individual globally using a single image or video.
Codec Avatars Research Scientist Responsibilities
  • Develop a large-scale machine learning model to build a universal prior for human features such as face, body, hands, hair, etc.
  • Personalize the universal prior model on a single human image/video to rapidly construct a realistic codec avatar.
  • Define data requirements and collaborate with the Research SuperCluster team to efficiently load data.
  • Partner with the GenAI team to explore and implement various state-of-the-art models and methods, including transformers, diffusion models, hypernetworks, etc.
  • Collaborate with the Universal Encoder team to support the real-time driving of the generated codec avatar.
  • Define, design, and implement automatic pipeline of avatar generation from images/videos.
Minimum Qualifications
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Masters or higher degree in Computer Science or a related technical field, or equivalent experience.
  • Experience with multi-node machine learning training workflows and frameworks.
  • Experience in developing or applying computer graphics algorithms.
  • Experience in developing or applying computer vision algorithms.
  • Adept communication skills, including experience in driving decision-making processes.
  • Experience working with cross-functional teams including, research, software, legal, privacy, and security.
  • Proficiency in Python.
  • Experience in Linux/shell scripting development.
Preferred Qualifications
  • PhD degree in Computer Science or a related technical field, or equivalent experience.
  • 2+ years of experience in a related industry.
  • Publish papers on CVPR, ECCV, ICCV, T-PAMI, SIGGRAPH, SIGGRAPH Asia, etc. as the first author
  • Understanding of deep neural network training, experience with large-scale models, diffusion models, hypernetworks, etc.
  • Proficiency in C++.
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 today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$117,000/year to $173,000/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.
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, 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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