Security Engineer focused on red teaming AI agents and developer tools, identifying vulnerabilities, and driving mitigation efforts. The role involves translating AI security standards into controls, scaling testing with automation, and communicating risk to stakeholders.

Uber is seeking a Staff Data Scientist for their Global Safety & Risk Team in Sao Paulo, Brazil. The role focuses on applying data analysis, machine learning, and statistical modeling to identify and prevent safety incidents. Key responsibilities include analyzing imbalanced datasets, designing and implementing binary classification models, generating insights from risk data, conducting complex experiments (Diff-in-Diff, Synthetic Controls), and defining success metrics. The role requires experience in building and deploying binary classification systems for high-stakes applications, experimental design beyond A/B testing, handling extreme class imbalance, and proficiency in Python and SQL. Experience with geospatial data analysis and real-time inference systems is preferred.