Overview
In this role, you will lead Faculty’s AI safety research program, focusing on large language models and safety-critical systems. You’ll guide a small, high-agency team, drive external publications, and align research with the company’s ambition to build trustworthy AI. You’ll tackle high-impact safety challenges and shape the field through strategic, publications-driven work. This is a chance to influence safety directions at the intersection of research and real-world deployment.
Pay / Benefits
- Unlimited Annual Leave Policy
- Private healthcare and dental
- Enhanced parental leave
- Family-Friendly Flexibility & Flexible working
- Sanctus Coaching
- Hybrid Working (2 days in London office)
Responsibilities
- Lead the AI safety research agenda and set priorities aligned with long-term goals
- Oversee cutting-edge safety research for LLMs and safety-critical systems
- Publish high-impact findings in top conferences/journals
- Shape the research plan by balancing scientific and practical priorities
- Build, manage, and mentor a growing research team
- Collaborate on evaluations and red-teaming in high-risk domains (CBRN, cybersecurity)
- Position Faculty as a thought leader through research and stakeholder engagement
Key requirements
- Proven track record of high-impact AI research with top-tier publications or equivalent
- Deep domain knowledge in language models and AI safety
- Strong research judgment and experience in AI safety with novel directions
- Ability to oversee complex technical projects; advanced programming skills (Python, data science stack)
- People leadership and development mindset
- Excellent verbal and written communication skills for diverse audiences
- Solid understanding of AI safety landscape and resource development ability
- leadership
- mentorship
- collaboration
- Python
- data science stack
- AI safety
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