Senior Research Scientist - AI Safety Evaluations

Why Faculty?

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human‑centric AI. You can read about our real‑world impact here.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human‑centric AI. You can read about our real‑world impact here.

We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.

Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.

AI is an epoch‑defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.

We are the central research and development team within Faculty's broader AI safety charter. Our group focuses on fundamental and applied technical AI safety research, producing rigorous scientific outputs - publications, tooling, technical reports & evaluations - that advance the theory, practice and understanding of AI risks, and directly inform the work of frontier AI labs, government agencies, and national security institutes.

Our research spans fundamental research using black-box and white-box approaches to understand and steer AI systems, to building and advancing safety evaluations which better understand and quantify risks in AI. We care deeply about mechanistic understanding and scientific rigour in measuring risks in AI systems. Current research threads include (but are not limited to) uncertainty calibration, goal drift, misinformation mitigation, steering vectors, robust safeguard measurement and the science of evaluations.

We collaborate closely with the Faculty's wider AI safety team, a group with a well-established track record in capability evaluations and red‑teaming for misuse risk across CBRN, cybersecurity, societal and psychosocial harms. That work has been conducted for several leading frontier model developers and national safety institutes, and has been featured in model cards and safety reports from Anthropic, GDM, Meta & OpenAI.

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.

• 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.

• 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…