Lead Data Scientist (Safety)
Core
Drive scientific direction and architectural rigor for upstream AI safety and evaluation standards, partnering with Frontier Labs to design novel experiment frameworks and ensure delivery excellence.
Role type
Senior IC Lead Data Scientist (AI Safety & Evaluation)
Builds
Upstream AI safety solutions, evaluation standards, and robust scientific experiment designs for high-stakes engagements.
Domain
AI Safety, Evaluation Methodologies, Quantitative Data Science
Deliverable
production ML models
Required skills
Leadership in quantitative data science, upstream AI safety research, experiment design methodology, advanced Python, scientific stacks (NumPy, Pandas), AI evaluation frameworks (e.g., Inspect AI), agentic harnesses, sandboxing environments, commercial acumen, strategic execution.
Preferred skills
Academic research background, experience in specialized domains, ability to articulate complex scientific strategies, passion for advancing evaluation standards.
Technologies
Python, NumPy, Pandas, Inspect AI
Responsibilities
Direct project teams to deliver cutting-edge upstream AI safety solutions; Architect core scientific experiment designs and robust software infrastructure; Guide and mentor data scientists; Partner with commercial leads and executive stakeholders to scope technical work; Advance industry leadership by innovating novel evaluation methodologies; Establish and uphold scientific methodology and engineering best practices.
Seniority
Senior, hands-on IC with leadership responsibilities
