Develop and deploy scalable safety solutions for Cloud AI products by leveraging advanced machine learning and AI techniques.

Use data analysis to discover and interpret how attackers exploit Cloud AI infrastructure or use Application Programming Interfaces (APIs) for abuse, identifying weak points in our systems.

Define what constitutes abuse in ambiguous or highly novel AI use cases, ensuring our guidelines adapt to AI-driven attacks.

Analyze and measure generative/agentic AI risks using benchmarking, dataset design, and scaled usage monitoring.

Drive the rapid response for high-priority AI security incidents, conducting through Root Cause Analyses (RCAs) to implement sustainable long-term solutions. Partner with Engineering and Product teams to identify, prioritize, and develop strategies against the most pressing and novel AI threats.

Bachelor's degree or equivalent practical experience.

5 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

Experience with SQL.