Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD)
About this role
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
$7,650/month to $12,667/month + benefits
Responsibilities
- 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.
Minimum Qualifications
- 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
Preferred Qualifications
- 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 internship
$7,650/month to $12,667/month + benefits
Company at a glance
Meta is a company focused on shaping the future of human connection. Its mission is to build the future of human connection and the technology that makes it possible. Meta's technologies help people connect, find communities, and grow businesses. Facebook launched in 2004, changing the way people connect, and Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to drive the next evolution in social technology. The company also maintains a careers page at metacareers.com for job listings.
Team Size10000+
WorkspaceOn-site
IndustrySoftware Development
Location
Menlo Park, California, United States
Websitemetacareers.com
LinkedInLinkedIn
Top Benefits
- Mentorship
- Research publication opportunities
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