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AI Research Scientist, 3D Generative AI

**Summary:**

Meta Reality Labs brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Core AI group in RL is seeking research scientists to solve the next generation of research challenges on the path to building the 3D Metaverse. The aim of this role is to develop and advance state of the art research in 3D Generative AI technologies such as generating objects, materials, animation and worlds.

**Required Skills:**

AI Research Scientist, 3D Generative AI Responsibilities:

1. Research and develop novel computer vision models in Generative AI, with a focus on 3D objects, textures and scene generation.

2. Publish research results in top-tier journals and at leading international conferences.

3. Collaborate with team members throughout the lifetime of a project, from early research through prototyping.

4. Working with product partners to deploy research into Meta's products.

**Minimum Qualifications:**

Minimum Qualifications:

5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

6. PhD in the field of computer vision, robotics, ML or equivalent.

7. Background in generative AI, 3D computer vision, video and image generation.

8. Experience with a mastery of modern features in C++ or Python. Experience with ML frameworks such as PyTorch.

9. Experience designing machine learning algorithms, including experience creating software for data loading, training, and inference of novel ML architectures.

10. Interpersonal experience: cross-group and cross-functional collaboration.

**Preferred Qualifications:**

Preferred Qualifications:

11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, NeurIPS, ICLR, SIGGRAPH.

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

13. Mathematical background and understanding of numerical optimization, linear algebra, probabilistic estimation and 3D geometry.

14. 3+ years of industry or postdoctoral experience as research scientist.

**Public Compensation:**

$177,000/year to $251,000/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 accommodations-ext@fb.com.


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