faculty - Senior Research Scientist - AI Safety Evaluations
Requirements
• 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. • 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.
Responsibilities
• 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.
Benefits
• 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 https://faculty.ai/impact. • 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. • 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.
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