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About the Role
The Principal Research Scientist for AI Safety will lead a high-agency research team, shaping the future of safe AI systems. This role involves leading researchers, driving external publications, and ensuring alignment with Faculty’s commercial ambition to build trustworthy AI, offering a high-impact contribution in a rapidly evolving, critical field.
Responsibilities
- Leading the AI safety team's ambitious research agenda, setting priorities aligned with long-term company goals.
- Conducting and overseeing cutting-edge AI safety research, specifically for large language models and safety-critical AI systems.
- Publishing high-impact research findings in leading academic conferences and journals.
- Shaping the research agenda by identifying impactful opportunities and balancing scientific and practical priorities.
- Helping to build and mentor a growing team of researchers, fostering an innovative and collaborative culture.
- Collaborating on delivery of evaluations and red-teaming projects in high-risk domains like CBRN and cybersecurity.
- Positioning Faculty as a thought leader in AI safety through research and strategic stakeholder engagement.
Requirements
- Proven track record of high-impact AI research, demonstrated 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, including generating and executing novel research directions.
- Ability to conduct and oversee complex technical research projects.
- Advanced programming skills (Python, standard data science stack) to review team work.
- Excellent verbal and written communication skills, capable of sharing complex ideas with diverse audiences.
- Deep understanding of the AI safety research landscape and the ability to build connections to secure resources for impactful work.
Skills
- AI Safety
- Large Language Models
- Python
- Data Science Stack
Work Type
- Part-time hours
About the Company
- Faculty was established in 2014 with the belief that AI would be the most important technology of our time.
- Faculty has worked with over 350 global customers to transform their performance through human-centric AI.
- Faculty innovates, builds, and deploys responsible AI that makes a significant impact.
- Faculty possesses unparalleled depth of technical, product, and delivery expertise.
- Faculty serves clients across government, finance, retail, energy, life sciences, and defense sectors.
- Faculty's business and reputation are growing rapidly.
- Faculty seeks individuals with intellectual curiosity and a desire to build a positive legacy through technology.
- Faculty is a company where employees are empowered to envision and implement the most powerful applications of AI.
- Faculty conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas like CBRN, cybersecurity, and international security for leading frontier model developers and national safety institutes.
- Faculty's work has been featured in OpenAI's system card for o1.
- Faculty conducts fundamental technical research on mitigation strategies, with findings published in peer-reviewed conferences and delivered to national security institutes.
- Faculty designs evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models.
Equal Opportunity
- Faculty aims to grow the best team, not the most similar one, recognizing that diversity of individuals fosters diversity of thought.
- Diverse teams deliver better work, relevant to the world.
- The team is united by deep intellectual curiosity and a desire to use abilities for measurable positive impact.
- Applications are strongly encouraged from people of all backgrounds, ethnicities, genders, religions, and sexual orientations.
- Candidates who do not meet all requirements but are excited by the role and bring key strengths are encouraged to apply.
- Faculty is open to conversations about part-time hours.
- AI can be used for research and interview preparation, but not for generating answers during live interviews.
- Faculty uses an AI note-taker (Metaview) in interviews, with an option to opt-out.
- Every application is reviewed by a human, never decided by AI.