AI Research Scientist, FAIR Security, Privacy, and Reliability

The FAIR Security, Privacy, and Reliability team breaks and fixes agents and the foundational models that power them. We conduct fundamental research to discover novel attacks, measure privacy, and find non-intuitive breaks in robustness. We frequently contribute those benchmarks to Meta's model Evaluation Reports and have published many of them in top research venues, earning top-1% recognition at ICLR and ICML. The team also lands novel post-training mitigations for these risks in both the open-source line of models and has multiple opportunities for direct research-to-production.
AI Research Scientist, FAIR Security, Privacy, and Reliability Responsibilities
Conduct fundamental research to discover novel safety and security failures, robust approaches to measuring memorization risk or reliability failures in AI agents and foundational models,
Develop and contribute benchmarks to Meta's foundational model evaluation suite and/or the Evaluation Reports
Design and implement novel post-training mitigations for safety, security, privacy, and reliability risks in foundation models
Collaborate with cross-functional teams to translate research into production systems

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
PhD in Computer Science, Machine Learning, or related field, or equivalent practical experience
Research experience in at least one of the following areas: safety, security, privacy, or robustness of AI models; adversarial machine learning; indirect prompt injections or jailbreaks; contextual integrity or memorization; reward hacking or other agent reliability failures; testing or mitigating foundation models for catastrophic risk (CBRNE, cyber, loss of control); or developing mitigations in any of these areas

Preferred Qualifications:

Track record of publications in top-tier research venues

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 Whats App 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: $184,000/year to $257,000/year + bonus + equity + 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.
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