Research Scientist Intern, AI, Cyber Security, Safety - MSL Trust & Safety (PhD)

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 Gain Hands-on experience with Meta's frontier AI models and infrastructure at scale Mentorship from leading researchers in AI cybersecurity Opportunity to publish at top-tier venues Impact on the safety of AI systems used by billions of people AI model's defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation. AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching. Evaluation: Develop systematic methodologies to probe frontier models' cyber capabilities.Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Statistics, or a related technical field 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) Experience working with large language models (training, fine-tuning, or evaluation) Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Experience with large language models, multimodal models, or agentic systems Experience with deep learning frameworks such as PyTorch Demonstrated ability to work independently and to drive a research project from concept to results Intent to return to a degree program after completion of the internshipMeta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here .Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .