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Summary:

In the Generative Codec Avatar Research group at XRCIA, we aspire to achieve a vision of building foundational digital human models that can generalize well to any users. The technology will empower people to build their digital representations and interact more effectively. We are looking for research engineers who are excited about designing and implementing models that are highly generalizable with large-scale data and compute . You will partner with software developers and researchers, collaborating together on the innovation necessary to build the foundations of digital human technology. At our lab, you will be exposed to facilities, algorithms, and data that are years ahead of anything else in existence today. We want people who seek both the best quality and widest reach in their work.

Required Skills:

Research Engineer Responsibilities:

1. Explore and apply technologies of digital human analysis and synthesis

2. Research applying in-the-wild data for building generalizable foundational models that represent appearance and behaviors with indistinguishable fidelity

3. Collaborate with other teams to push the research that enables mid to long-term products.

4. Build scalable and distributed training algorithms and efficient data loading for large scale deep learning.

Minimum Qualifications:

Minimum Qualifications:

5. 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

6. First author publications in computer vision, machine learning or computer graphics peer-reviewed conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).

7. Experience with realistic 3D geometry/apperance estimation/generation or motion modeling.

8. Must obtain work authorization in 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 research results as demonstrated by grants, fellowships and/or patents.

10. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

11. 3+ years of experience with prototyping algorithms in Python.

12. Experience with generative models such as Diffusion Models, GANs or VAEs for image and geometry generation.

13. Experience with Neural Radiance Fields, Vision Transformers, and Gaussian splats.

Public Compensation:

$56.25/hour to $173,000/year + bonus + equity + 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].