Skip to main contentA logo with &quat;the muse&quat; in dark blue text.

Codec Avatars Research Engineer

AT Meta
Meta

Codec Avatars Research Engineer

Pittsburgh, PA

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.

Want more jobs like this?

Get jobs in Pittsburgh, PA delivered to your inbox every week.

By signing up, you agree to our Terms of Service & Privacy Policy.


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++
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 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.

$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.

Client-provided location(s): Pittsburgh, PA, USA
Job ID: a1KDp00000E2ZSJMA3
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

Company Videos

Hear directly from employees about what it is like to work at Meta.