Faculty · London
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 ...
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 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.
ABOUT THE TEAM
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.
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.
Role
Senior Research Scientist - AI Safety Evaluations
Location
Published
July 23
Deadline
August 23
Source