About the job
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission).
Responsibilities
Designing and conducting empirical research on AI's economic effects, drawing on external data sources
Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
Measuring the extent to which model performance increases with custom harnesses?
Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems?
Identifying which metrics relating to AI R&D could service as early warning signals for recursive self-improvement
Qualifications
Minimum
Fluent in Python programming
Available to work full-time on the Fellows program
Preferred
Have an interest in economics or policy research; prior experience in this area is a plus but not required
Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
Are skilled at writing up and communicating your results, even when they're null or unexpected
Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy