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About the Role
Members of Technical Staff own a research project end to end. You will reason carefully about important capabilities for Recursive Self-Improvement (RSI) and identify areas where takeoff models are least constrained by evidence, translating this into hypotheses and large-scale experiments. Depending on your expertise, you may focus more on building infrastructure, running preliminary experiments, conceptual thinking, or communicating results.
Responsibilities
- Conduct ambitious experiments to measure automated AI R&D capabilities
- Identify new threat vectors from automated AI R&D and how to measure them
- Run scrappy prototypes and rapidly iterate
- Build robust, production-grade infrastructure
- Update forecasters, policy makers and the AI safety community about the risks of RSI
Requirements
- Excellent strategic taste and research taste: you can prioritise effectively in domains with weak feedback loops
- High agency and conscientiousness
- Comfort with ambiguity and adapting fast
- Strong, fast software engineering skills and concise written communication
- High attention to detail: you actually read the datasets
- Alignment with P-Zero's mission to improve the long-term trajectory of AI
Skills
- Software engineering
Location
- London
- San Francisco Bay Area
Work Type
- In-person
- Remote
Benefits
- Relocation allowance
About the Company
- P-Zero Research is a public benefit corporation working to improve the long term trajectory of artificial intelligence.
- We aim to forecast and mitigate the risks of automated AI R&D.
- Our recent work has involved improving takeoff forecasts by measuring the research taste of frontier models.
- Going forward, we’re improving our understanding of forecasts and risks of recursive self-improvement through studying strategic research taste and automated cyber uplift.
- As frontier labs move closer to automating their own research, we expect independent measurements and forecasts to become one of the main tools for pacing the frontier safely.