Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD)
Summary
PhD intern on Meta's PAR Trust & Safety team, researching AI security and safety techniques for superintelligent AI across the full research lifecycle using frontier AI models at scale.
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