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AI Research Scientist, FAIR Security, Privacy, and Reliability

Meta Platforms · San Francisco, CA · Posted 44 days ago

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machine learningAI/ML researchadversarial attacksprivacy attacksrobustness evaluationmodel evaluationpost-training mitigationsbenchmark development

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.

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This role is one of 59 Research Scientist openings in San Francisco, CA and centers on Machine Learning Research, AI Security, and Privacy Research. There are 1,402 open roles at Meta Platforms right now.

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