Applied Research Scientist

• We’re building a team of the world’s most forward-thinking, ambitious scientists to ensure that humanity can measure the safety of advanced AI
• Successful candidates will join the founding team of a well-resourced, fast moving nonprofit start-up, at the centre of the AI safety ecosystem.
• Motivated by the urgency of the problems we’re solving, we focus on integrating research outputs into standards and tools which can be rapidly adopted by the organisations that need them - governments, safety orgs, and frontier labs

• Generality Labs is an R&D lab based in London
• We were founded in 2026, spinning off from Arcadia Impact with $4.4M in seed funding from Coefficient Giving
• Our goal is to support the field of AI in accurately evaluating risks and mitigations.
• We’re a team of 2 cofounders, and 5+ contractors who have previously worked at places like METR, CERN and Anthropic.
• Our mission is to build tools and standards which address key scientific challenges in AI evaluation, and then drive adoption of these solutions where they are most needed
• Our ultimate goal is to ensure the field can accurately evaluate the safety of advanced AI (which is currently not the case).
• Our flagship product, Inspect Evals, has been used by every major AI safety organisation.
• While we do sometimes publish, we prefer to drive adoption of our research proactively:
  • We consult directly with organisation, providing auditing services and advising internal teams on best practices
  • We build tools that incorporate best practices, and work closely with key organisations to ensure they are adopted
• After launching our research workstream 3 months ago, we’re unable to meet the significant demand from our partners & collaborators

Summary: as an applied research scientist, you will scope and deliver R&D projects that solve key challenges in AI evaluation.

We’re open to accommodating different preferences about the scope of the role. In general, you can expect to move between deadline-driven, project-based work with partner organisations, and self-directed research projects in which you genuinely advance the science of evaluation. This requires being a rigorous methodologist on some days, and a pragmatic problem-solver on other days.

Here’s an example of what the role might look like:

• Applied Research (50%): you identify problems that need to be solved, and then develop methodologies to solve them. Key findings are published, e.g. via a blog post and/or workshop paper, and/or delivered directly to partner organisations with a memo
• Research Implementation (25%): based on your research, you incorporate methodologies into tools to promote broader adoption. Our main tool for this purpose is Inspect Auditor, which is being developed to automate the analysis of evaluation quality
• Auditing & consulting (25%): you will work with our partner organisations to assist them in their efforts to evaluate AI safety. In some cases, this may involve audits of internal evaluations, where you will innovate new QA methodologies as required.

• Relentless commitment to scientific rigour: This role demands significant skills in scientific reasoning and communication. You must be comfortable decomposing and questioning assumptions, and you must never be confidently incorrect. If you often find yourself appalled by the scientific rigour of research in the field, that is a great sign!
• Strategic foresight and prioritisation: you must be motivated by the need to solve the most pressing problems in the field, rather than by intellectual curiosity or popular trends. You will think from first principles and pre-empt the needs of the AI safety community.
• Pragmatic & practical: while building theories and elegant models is important, the urgency of…