Meta's FAIR Security, Privacy, and Reliability team is seeking researchers to break and fix agents and foundational models, driving safer and more reliable AI systems. You will develop benchmarks and contribute to Evaluation Reports, and design post-training mitigations for risks in foundation models.
Collaborate with cross-functional teams to translate research into production systems and publish findings in top venues, advancing measurement of memorization, privacy, and reliability in AI
#J-18808-LjbffrAI Safety & Security Research Scientist Foundational Models in san francisco at Unknown Company
This position is listed as full time and onsite.