Drive the methodological frontier of model evaluation. Partner with Google Deep Mind to develop novel data-driven methodologies for the structured and unstructured testing of emerging AI products and model capabilities. Move beyond standard benchmarks, designing sophisticated experimental frameworks and uncovering latent model behaviors and capabilities.

Define testing and safety standards, working with cross-functional colleagues, policy, and engineering, to ensure they are met. Perform analyses and drive insights to develop model-level and product-level safety mitigations.

Lead and influence cross-functional teams to implement safety initiatives. Act as an advisor to executive leadership on complex safety issues.

Represent Google's AI safety efforts in external forums and collaborations, contributing to industry-wide best practices. Mentor analysts, fostering a culture of excellence and acting as a subject matter expert on adversarial techniques.

Work with graphic, controversial, or upsetting content.

Bachelor's degree or equivalent practical experience.

7 years of experience in managing projects and defining project scope, goals, and deliverables.

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

5 years of experience in data analysis with experience in SQL or Python.