A Research Scientist is responsible for designing, undertaking and analyzing information from controlled laboratory-based investigations, experiments and trials.
Skip to main content Jobs Teams Career Programs Working at Meta Blog Podcasts Jobs Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) Menlo Park, CA Artificial Intelligence + 4 more Apply now 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 Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) 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: Neur
IPS, 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 About Meta Meta 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. For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America:
$7,650/month to $12,667/month + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity 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 . Apply for this job Take the first step toward a rewarding career at Meta. Apply now
