Senior Research Scientist - AI Safety Evaluations
- Full-time
- Part-time
About the role
As a Senior Research Scientist at Faculty, you will lead the development of cutting-edge safety evaluations to quantify AI risks in critical domains like CBRN and Cyber. Joining our high-impact R&D team, you will drive original research that advances safety methodology while collaborating with delivery teams building evaluations and red-teaming for frontier labs. This is a high-agency opportunity to conduct technical AI safety research that produces scientific outputs shaping the future of safe real-world AI deployment.
What you'll be doing
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 across Faculty and the broader ecosystem.
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.
Who we're looking for
A track record of owning research end-to-end—from identifying novel problems to publication—driven by scientific curiosity and tenacity.
Hands-on experience designing and building AI evaluations or benchmarks, alongside a strong 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 combined with the engineering discipline required to build robust, reproducible research.
Nice to haves
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.
Our Recruitment Ethos
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working
If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.