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Summary:

The Reality Labs (RL) Research brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including computer vision, graphics, body tracking, perception science, and true telepresence. The Virtual Humans team in Sausalito, CA works on cutting-edge research and development focusing on virtual people and presence. We envision a world where people communicate across vast distances so our roles focus on developing user-friendly tools for expressive character creation and animation.Our internships are twelve (12) to sixteen (16) to twenty four (24) weeks long and we have various start dates throughout the year.Research Topics:* Reinforcement learning and physics-based control for robotics* Motion Tracking, Character animation, retargeting, and stylization* Sim-to-real transfer, Motion Generation, Robot Control* Data-driven Human motion generation and analysis

Required Skills:

Research Scientist Intern, Physics Motion Generation for Robotics (PhD) Responsibilities:

1. Prototyping, building, and analysis of novel research ideas

2. Design and execution of algorithms and/or conduct and analysis of experiments

3. Collaboration with and support of other researchers across various disciplines

4. Communication of research agenda, progress and results

Minimum Qualifications:

Minimum Qualifications:

5. Currently has, or is in the process of obtaining, a PhD in Robotics, Computer Graphics, Character Animation, Computer Vision, Machine Learning, Human-Computer Interaction, Human-Robot Interaction, or related fields

6. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

7. Experience with physics-based animation, reinforcement learning, modern ML

8. 2+ years of experience with any of Python/pytorch, C/C++, C#/Unity

9. Interpersonal skills: cross-group and cross-culture collaboration

Preferred Qualifications:

Preferred Qualifications:

10. Intent to return to degree-program after the completion of the internship

11. 2+ years experience with character animation and/or physical simulation

12. Experience with Human motion tracking, retargeting, reinforcement learning, self-supervised learning, VLAs, Diffusion Models, IsaacLab or related topics

13. Experience with real humanoid hardware (e.g Unitree G1)

14. Proven track record of achieving results as demonstrated in accepted papers at top robotics, graphics or ML conferences such as CoRL, ICRA, IROS, CVPR, NeurlIPS, ICCV, ICLR, SIGGRAPH etc

15. Proven track record of achieving results as demonstrated in accepted papers at top robotics, graphics or ML conferences such as CoRL, ICRA, IROS, CVPR, NeurlIPS, ICCV, ICLR, SIGGRAPH etc

Public Compensation:

$7,650/month to $12,134/month + benefits

**Industry:** Internet

Equal Opportunity:

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 [email protected].