Summary:

Meta Superintelligence Labs (MSL) is committed to advancing AI in a safe, responsible, and scalable way. The PAR Trust & Safety team sits at the heart of this mission: we ensure the safety of billions of users across Meta's products and services by developing and deploying robust safety mitigations that unblock our most ambitious AI capabilities. We work on safety risk mitigation to directly enable launches of top-priority frontier models and the products built on them (e.g., Meta AI), and we develop solutions with real users in mind — monitoring after deployment, iterating, and evolving our strategy as new AI capabilities and risks emerge.As a Research Scientist Intern on the PAR Trust & Safety team, you will pioneer new AI security techniques and paradigms for superintelligent AI, working hands-on across the full research lifecycle. Our internships are twelve (12) to twenty-four (24) weeks long.What You'll GainHands-on experience with Meta's frontier AI models and infrastructure at scaleMentorship from leading researchers in AI cybersecurityOpportunity to publish at top-tier venuesImpact on the safety of AI systems used by billions of people

Required Skills:

Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) Responsibilities:

1. AI model’s defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation.

2. AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching.

3. Evaluation: Develop systematic methodologies to probe frontier models’ cyber capabilities.

Minimum Qualifications:

Minimum Qualifications:

4. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Statistics, or a related technical field

5. Strong publication record in one or more of: AI safety, ML security, NLP, cybersecurity (top venues: NeurIPS, ICML, ICLR, ACL, EMNLP, IEEE S&P, USENIX Security, CCS, NDSS)

6. Experience working with large language models (training, fine-tuning, or evaluation)

7. Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI

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. Experience with large language models, multimodal models, or agentic systems

10. Experience with deep learning frameworks such as PyTorch

11. Demonstrated ability to work independently and to drive a research project from concept to results

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

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.