# Member of Technical Staff, Researcher at Pzeroresearch > Onsite · United States · Staff · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Apzeroresearch%3A1c40fdf8-5352-4d0e-8451-93cfda4505ef (read 2026-11-11). ## Facts (observed) - Company: [Pzeroresearch](https://alderhq.app/companies/pzeroresearch) - Location text: San Francisco Bay Area; London - Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco Bay Area; London") - Posted: 2026-09-29 (43 days ago) - First seen by alder: 2026-11-07 · last verified: 2026-11-08 - Reposted: 0 times · edited: 0 times - Apply on the employer's site: https://jobs.ashbyhq.com/pzeroresearch/1c40fdf8-5352-4d0e-8451-93cfda4505ef ## Pay and sponsorship - Posted pay: $200k–$500k per year (from the listing's pay field) - Market band for similar posted roles (SF Bay Area, n 1137): p25 $205k, median $240k, p75 $284k ## Description (the employer's text) ### About P-Zero Research 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. ### The role Members of Technical Staff own a research project end to end. You would reason carefully about which capabilities are important for RSI and where existing takeoff models are least constrained by evidence: turning that reasoning into hypotheses and then into large-scale experiments that you execute. Depending on your expertise you may focus more on building infrastructure, running preliminary experiments, doing conceptual thinking or communicating results. ### In this role you will 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 ### People will thrive in this role with 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 ### Bonus points for Frontier-lab or METR/AISI-adjacent expertise Prior research experience in evals Being based in, or able to relocate to, London or the San Francisco Bay Area ### Location We prefer people to work in person in London or the San Francisco Bay Area. We're open to remote for exceptional candidates, with regular overlap during our core hours (8-10am Pacific / 4-6pm UK). ### Visas and relocation We offer a relocation allowance for moves to London or the San Francisco Bay Area. San Francisco Bay Area: we sponsor US work visas (typically O-1A, E-3 or TN) and cover legal and filing fees, including for dependants. Sponsorship isn't guaranteed for every candidate, but if we make you an offer we'll work with you and our immigration counsel to find the right route. London: we can't sponsor UK visas at the moment, so you'll need an existing right to work in the UK or a visa you hold in your own right, such as a Global Talent visa. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Apzeroresearch%3A1c40fdf8-5352-4d0e-8451-93cfda4505ef and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.