Codec Avatars Research Engineer

Meta Reality Lab’s Codec Avatar Research team is building technology to enable immersive, photorealistic social presence. Codec Avatars are real-time live-drivable representations that match the appearance of their users. As part of the Lab’s Instant Codec Avatar group, you’ll work to scale up Codec Avatar technology by modeling the manifold of human motion and applying that model to the process of motion and behavior synthesis.

This role is primarily centered on the animation of our codec avatars from multimodal inputs such as audio, image, and text. This involves training large-scale universal prior models using large-scale 2D and 3D datasets, and then applying these models to downstream tasks focusing on agentic Codec Avatars. As part of this role, you will collaborate with a team of research scientists, research engineers, and software engineers to pioneer research in the field of digital humans. You will work with some of the largest 3D motion 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 building fully autonomous avatars.Codec Avatars Research Engineer Responsibilities

• Develop a large-scale machine learning model to build a universal prior for human motion and behavior
• Define data requirements and collaborate with the Research SuperCluster team to efficiently load data
• Partner with FAIR to explore and implement various state-of-the-art models and methods, including transformers, diffusion models, and LLMs
• Collaborate with the Encoder team to support the real-time animation of the avatars
• Define, design, and implement automatic pipeline to leverage large amounts of 2D video data to enhance 3D motion generation

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 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
• 5+ years experience in machine learning and modeling of 3D humans
• Publish papers on CVPR, ECCV, ICCV, T-PAMI, SIGGRAPH, SIGGRAPH Asia, etc. as the first author
• Understanding of neural network training, experience with large-scale models, diffusion models, hypernetworks, etc
• Proficiency in C++

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
$85.10/hour to $251,000/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.