Research Scientist Intern, Integrity AI (PhD)

About the role

**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 the Entity and Actor Integrity team within Facebook Integrity. We are the applied ML team behind enforcement on complex entities and the actors who run them: groups, pages, events and creators. Our models decide when a group spreading severe harm should be taken down, when a creator is faking engagement, when a page is impersonating someone, and when an enforcement should be reversed on appeal, across a platform used by billions of people.Our work has moved from per-post classifiers to LLM-based systems that reason over an entire entity (its content, members, admins and history) and apply written policy the way an expert would. The open research problems are about making that judgment efficient, reliable and continually improving:distilling large reasoning models into small, fast models and pushing the boundaries of decision-style models like Jevkeeping one shared multi-harm model improving without regressing other harmslearning from scarce expert labelscalibrating confidence so the system knows when to defermeasuring quality when the model is better than most human reviewersInterns own one focused research problem end to end, from framing to experiments to publication, under the guidance of our research scientists and machine learning engineers.

**Required Skills:**

Research Scientist Intern, Integrity AI (PhD) Responsibilities:

1. Perform research to advance the science and technology of trustworthy, efficient AI systems for integrity and safety.

2. Develop novel methods for training, distilling and continually updating large language and multimodal models that make policy decisions about entities and actors.

3. Design rigorous experiments and evaluations using expert human labels, LLM judges and offline replays, including methods that stay valid when labels are scarce or expensive.

4. Analyze and improve the efficiency, calibration, robustness and reliability of models used in production enforcement.

5. Collaborate with researchers, engineers and policy partners, communicating research plans, progress and results.

6. Publish research results and contribute to research that can be applied to Meta product development.

**Minimum Qualifications:**

Minimum Qualifications:

7. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, Statistics, or relevant technical field

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

9. Experience with Python

10. Experience with deep learning frameworks such as PyTorch

11. Research experience in machine learning, including training or fine-tuning deep learning models and designing experiments to evaluate them

12. Familiarity with large language models and AI-native development (Claude, Codex etc)

**Preferred Qualifications:**

Preferred Qualifications:

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

14. Proven track record of research achievements as demonstrated by publications at leading venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, COLM, CoLLAs, KDD, WWW or ICWSM

15. Research or project experience in one or more of: continual or lifelong learning, multi-task learning and model merging, active learning, knowledge distillation, LLM post-training (SFT, preference optimization, RL), uncertainty estimation and calibration, learning from AI feedback or LLM judges, multimodal modeling, or sequence/graph modeling of user behavior

16. Experience applying ML to trust and safety, content moderation, fraud or abuse detection

17. Experience with large-scale or parameter-efficient training (e.g., LoRA, distributed training)

18. Demonstrated software development experience via internships, work experience, coding competitions, or widely used open-source contributions

19. Experience working and communicating cross-functionally in a fast-paced environment, with the ability to frame real-world problems as rigorous ML problems and drive iterations from clear analysis

**Public Compensation:**

$7,650/month to $12,667/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 accommodations-ext@meta.com.

Posting text as published by Meta.

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intern From the job title

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Virtual, USA

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