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Summary:

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our Meta Superintelligence Lab in the post-training modeling team, with a focus on Agentic AI. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies that help interact with and understand our world. We are seeking individuals passionate about agentic AI, including but not limited to LLM agentic tool use, personalized AI agents, LLM agentic post-training, LLM reasoning/coding, and related areas. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, Agentic AI (PhD) Responsibilities:

1. Develop novel state-of-the-art agentic AI algorithms and corresponding systems, leveraging machine learning and reinforcement learning techniques.

2. Conduct research on agentic LLMs, agentic RL environments, LLM post-training, and related topics.

3. Analyze and improve the efficiency, scalability, and stability of agentic AI algorithms and deployed systems.

4. Advance the science and technology of intelligent, agentic machines capable of reasoning, tool use, and personalized interactions.

5. Collaborate with researchers and cross-functional partners, including communicating research plans, progress, and results.

6. Disseminate research results through publications, presentations, and open source contributions.

7. When applicable, contribute to research that can be applied to Meta product development.

8. Experience with Python, C++, C, Java or other related languages.

9. Experience building systems based on machine learning and/or deep learning methods.

Minimum Qualifications:

Minimum Qualifications:

10. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, or a relevant technical field

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

12. Experience with Python, C++, C, Java or other related languages

13. Experience building systems based on machine learning and/or deep learning methods

Preferred Qualifications:

Preferred Qualifications:

14. Intent to return to the degree program after the completion of the internship/co-op

15. 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 NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, ECCV, or similar

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

17. Experience in advancing agentic AI techniques, including core contributions to open source libraries and frameworks in agentic LLMs or RL environments

18. Publications or experience in agentic AI, LLMs, reinforcement learning, reasoning/coding, optimization, computer science, statistics, applied mathematics, or data science

19. Experience solving analytical problems using quantitative approaches

20. Experience setting up ML experiments and analyzing their results

21. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

22. Experience in utilizing theoretical and empirical research to solve problems

23. Experience with deep learning frameworks

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].