Senior Research Scientist - AI Safety

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 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. ABOUT THE TEAM We are the central research and development team driving Faculty's broader AI safety charter. We pioneer fundamental and applied technical AI safety research, producing rigorous scientific outputs—including publications, tooling, and technical reports—that advance the theory and practice of AI safety and directly shape the work of frontier AI labs, government agencies, and national security institutes. Our research spans both black-box and white-box approaches to understanding and steering AI systems. We care deeply about interpretability, faithfulness, and principled mitigation strategies, with a particular focus on the mechanistic and behavioural study of transformer-based large language models and long-running agentic systems. We operate at the cutting edge of the field, with current research threads including: - System Understanding: Interpretability, steering vectors, and the science of evaluations. - Control & Alignment: Goal drift, machine unlearning, and uncertainty calibration. - Societal Safeguards: Misinformation mitigation and robust deployment boundaries. 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, and international security. That work has been conducted for several leading frontier model developers and national safety institutes, and has been featured in OpenAI's o1 system card and Meta Muse Spark’s Safety & Preparedness Report. ABOUT THE ROLE As a Senior Research Scientist at Faculty, you will join our high-impact R&D team to lead original technical research that advances our understanding of safe AI systems. Operating with high agency, you will balance scientific rigour with practical relevance to shape the future of safe AI deployment. Working closely with our broader AI safety practice, your scientific outputs—ranging from peer-reviewed publications to technical tooling—will directly inform frontier labs and government institutes, driving our entrepreneurial ambition to build a safer technological future. WHAT YOU'LL BE DOING: - Leading original technical research in AI safety, steering projects from initial research question to high-impact publication. - Shaping the research agenda by identifying high-impact projects that balance scientific rigour with real-world relevance. - Contributing thought leadership and deep technical expertise to support wider evaluation and red-teaming efforts. - Supporting our positioning as a global leader through active external engagement with frontier labs and government stakeholders. - Developing robust, reproducible research code and engineering infrastructure to accelerate our scientific discovery. - Collaborating with cross-functional safety teams to translate fundamental research into practical mitigation strategies. WHO WE'RE LOOKING FOR: - Strong track record in AI research, evidenced by publications or equivalent experience, alongside the ability to tackle open, unsolve…