Faculty

Senior Research Scientist - AI Safety Evaluations

London, Remote. Posted 3 months ago

The role

You will lead the development of novel safety evaluations in domains like CBRN and Cyber. You will conduct original technical research in AI safety evaluation methods and contribute expertise to client delivery and red-teaming projects.

What you will do

  • Leading the development of novel safety evaluations in high-impact domains such as CBRN and Cyber to quantify emerging risks.
  • Executing original technical research in AI safety evaluation methods, taking ideas from concept to publication.
  • Shaping the R&D agenda by identifying strategic opportunities to advance safety evaluation methodology.
  • Contributing thought leadership and deep technical expertise to client delivery projects, evaluation work, and red-teaming for frontier labs.
  • Representing Faculty’s scientific leadership through active external engagement with the global research community, frontier labs, and government stakeholders.

Required qualifications

  • Track record of owning research end-to-end from identifying novel problems to publication.
  • Hands-on experience designing and building AI evaluations or benchmarks.
  • Ability to reason about construct validity and mitigate confounds.
  • Expertise in red-teaming, adversarial testing, jailbreaking, indirect prompt injection, and assessing the robustness of model safeguards.
  • Strong foundational skills in experimental design, statistical analysis, and uncertainty quantification, including Bayesian methods.
  • Deep knowledge of language models, generative AI architectures, training methodologies, and safety mitigation techniques.
  • Solid Python proficiency with engineering discipline to build robust, reproducible research.

Nice to have

  • Experience in threat and risk modelling.
  • Background or knowledge in high-risk domains such as CBRN or Cybersecurity.
  • A history of high-impact AI research, evidenced by top-tier publications or equivalent practical achievements.

About the company

Faculty was established in 2014 to transform performance through human-centric AI. They work with global customers across government, finance, retail, energy, life sciences and defence.