AI Research Scientist, FAIR Security, Privacy, and Reliability

Meta • Menlo Park, CA • 22min ago

Summary:

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.

Required Skills:

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:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

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

Public Compensation:

$122,000/year to $181,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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