Codec Avatars Research Scientist

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.

Responsibilities:

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.

Qualification and experience:

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:

Preferred Qualifications:

2+ years of experience in a related industry.

Understanding of deep neural network training, experience with large-scale models, diffusion models, hypernetworks, etc.

Proficiency in C++.