Far.Ai

Research Lead - Pre-training Safety

Berkeley Office, Remote. Posted 2 months ago

The role

The Research Lead will develop and lead work on pre-training safety to shape model capabilities and internal representations. You will build and lead a team, set research directions, and remain hands-on with code and experiments.

What you will do

  • Articulate a research agenda with a clear theory of change
  • Grow and lead a team of technical staff
  • Lead novel research projects
  • Share research findings through written content and presentations
  • Mentor and coach junior team members
  • Contribute to the intellectual environment and research culture
  • Build a research field through grantmaking and events
  • Connect research to real-world deployments

Required qualifications

  • Strong existing research track record in AI or another highly technical subject (e.g. CS, math, physics)
  • Deep experience with language-model pretraining, dataset construction, or controlled training experiments
  • Experience building large-scale pipelines for scoring, filtering, deduplicating, and sampling training corpora
  • Strong experimental judgment
  • Ability to build and debug research systems directly
  • A clear research agenda or a strong track record to sharpen into an agenda
  • Experience leading a team, mentoring graduate students, or supporting early-career researchers
  • Ability to effectively communicate novel methods and solutions to technical and non-technical audiences
  • Substantive engagement with machine learning research

Nice to have

  • Established publication record in AI safety
  • Comfortable writing grant proposals and navigating collaborations

Benefits

  • Competitive salaries
  • Sizable compute budgets
  • Pay for work-related travel and equipment expenses
  • Catered lunch and dinner at the Berkeley office

Before you apply

  • Visa sponsorship is offered for in-person employees
  • Requires a CV, research direction statement, 2-3 selected works, and a note on why FAR.AI is a good home
  • Process includes a 45-minute fit call, 2 technical assessments, a 3-5-day paid work trial, and reference calls

About the company

FAR.AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for everyone. The organization conducts pre-deployment testing, independent evaluations, and publishes AI safety research.

Research Lead - Pre-training Safety at Far.Ai | JobZoey