Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making significant progress in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence and machine learning. In particular, we are looking for candidates interested in exploring the impact of data curation on privacy, fairness, and robustness as well as other topics in privacy and security of large-scale multi-modal models. Potential research directions may investigate whether data curation has disparate impacts across groups, how data design impacts the ability of adversaries to compromise privacy, whether data choices can improve fairness, or other directions related to these topics. Projects will be determined together with the Postdoc, supervisor, and other researchers in FAIR. We are seeking candidates with a keen interest in developing novel approaches that lead to better solutions for core machine learning problems, with a focus on trustworthy aspects of machine learning, such as privacy, fairness and robustness. Postdoc positions are one to two year fixed-term positions.