Principal Research Scientist - AI Safety

The role

You will lead a small research team and shape the scientific research agenda for AI safety. The role focuses on large language models and other critical systems through research, publications, and red-teaming projects.

What you will do

• Leading the AI safety team's research agenda and setting priorities.
• Conducting and overseeing AI safety research for large language models and safety-critical systems.
• Publishing research findings in academic conferences and journals.
• Identifying impactful research opportunities and balancing priorities.
• Building and mentoring a growing team of researchers.
• Collaborating on delivery of evaluations and red-teaming projects in high-risk domains.
• Positioning Faculty as a thought leader through research and stakeholder engagement.

Required qualifications

• Proven track record of high-impact AI research through top-tier academic publications or equivalent experience.
• Deep domain knowledge in language models and the evolving field of AI safety.
• Strong research judgment and extensive experience in AI safety.
• Ability to conduct and oversee complex technical research projects.
• Advanced programming skills in Python and standard data science stack.
• Excellent verbal and written communication skills.
• Deep understanding of the AI safety research landscape.

Before you apply

• Talent Team Screen
• Experience & Theory interview
• Research presentation and coding interview
• Leadership and Principles interview
• Final stage with our CEO

About the company

Faculty was established in 2014 to transform performance through human-centric AI. They work with global customers across government, finance, retail, energy, life sciences and defence.