Research Lead: AI Safety & Pre-Training at Scale

FAR.AI; Berkeley (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

FAR.AI, a Berkeley-based AI safety research institute, seeks a Research Lead to define and own a research program on pre-training safety and capability control. You will lead a growing team, mentor researchers, and push for empirical, scalable safety methods from data filtering to model governance.

You will collaborate with red-teaming partners and governments, drive research roadmaps, and publish results to advance the field while maintaining a strong hands-on coding and experimentation

Qualifications

• PhD or equivalent in ML/CS.
• Strong track record in security/safety research.
• Experience leading research teams and mentoring staff.

Responsibilities

• Articulate a clear research agenda with a theory of change for AI safety.
• Grow and lead a team of technical staff in pursuit of the agenda.
• Lead novel research projects with ambiguous milestones.
• Share findings via publications, blogs, and presentations to drive adoption.
• Mentor junior researchers and contribute to the research culture at FAR.AI.

Skills

Team Leadership

ML Safety Research

Mentor Staff

Experimentation

Code Proficiency

Education

PhD in ML/CS

Tools

Python

PyTorch

Job description

FAR.AI, a Berkeley-based AI safety research institute, seeks a Research Lead to define and own a research program on pre-training safety and capability control. You will lead a growing team, mentor researchers, and push for empirical, scalable safety methods from data filtering to model governance.

You will collaborate with red-teaming partners and governments, drive research roadmaps, and publish results to advance the field while maintaining a strong hands-on coding and experimentation