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AI Research Scientist, FAIR Security, Privacy, and Reliability

Meta· Artificial Intelligence
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San Francisco, CA$184k - $257kFull-timePosted 4w ago

About the role

Research scientist role within Meta's FAIR Security, Privacy, and Reliability team focusing on fundamental research to discover safety, security, privacy, and reliability issues in AI models, developing benchmarks, and designing post-training mitigations.

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

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

Skills

Required:fundamental researchbenchmark developmentpost-training mitigations
Last updated Oct 23, 2026. Interested? Apply on the company site.

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