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Summary:

Meta’s mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Towards this mission, the Reality Labs (RL) team is helping people around the world to come together and connect through world-class AR/VR hardware and software. We are seeking exceptional Research Interns to join the RL XR People team and create a revolution in VR/AR: achieving true photorealistic telepresence. XR People is an organization focused on productizing novel human understanding technologies on VR/AR devices (for example we shipped face and body tracking technologies on Quest Pro). Through understanding of human appearance, movement and expression, the XR People team enables immersive new experiences that bring people closer together and enhance the way we interact with each other and computers.Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, Human Understanding (PhD) Responsibilities:

1. Solve real problems in enabling Photorealistic Telepresence.

2. Develop and execute on an R&D agenda related to computer vision, computer graphics or machine learning.

3. Push the state of the art research from recent top conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV).

4. Collaborate and support other researchers across various disciplines.

Minimum Qualifications:

Minimum Qualifications:

5. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Electrical Engineering, or Electrical and Computer Engineering in the field of Computer Science, Computer Vision, Computer Graphics, Machine Learning, or related field

6. 2+ years experience with building systems based on Computer Graphics, Computer Vision or Machine Learning methods

7. 3+ years experience in C++ and Python.-Interpersonal experience: cross-group and cross-culture collaboration

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

Preferred Qualifications:

Preferred Qualifications:

9. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, ICLR, PAMI, IJCV)

10. Experience working and communicating cross functionally in a team environment

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

12. Proven track record in tracking and modeling of humans (eyes, face, hands, body, ...) and garments

13. Proven track record in human motion and animation (body/face/hands/eyes)

14. Proven track record in action and gesture recognition

15. Proven track record in 3D reconstruction, non-rigid fusion, and volumetric capture

16. Proven track record in ML based data compression techniques

17. Proven track record in Semi-supervised learning, self-supervised learning, or domain adaptation

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].