Application Guide

How to Apply for Research Lead

at Far.Ai

🏢 About Far.Ai

Far.Ai is a nonprofit research organization focused on reducing catastrophic risks from advanced AI. It uniquely combines hands-on technical research with high-impact grantmaking and policy influence, offering a mission-driven environment where your work directly shapes AI safety.

About This Role

As Research Lead, you'll build and drive a research agenda to mitigate extreme AI risks, while staying hands-on with code and experiments. You'll also mentor a team and influence the broader AI ecosystem through grants and stakeholder engagement, making this a high-leverage role for someone passionate about AI safety.

💡 A Day in the Life

Your day might start with a team stand-up to discuss progress on experiments, then shift to writing code for a new interpretability technique. After lunch, you'd mentor a junior researcher on their project, followed by a call with a grantee to discuss their impact. You'd end the day reviewing a policy brief on AI regulation.

🎯 Who Far.Ai Is Looking For

  • Has a strong publication record in AI safety, alignment, or a related technical field (e.g., CS, math, physics).
  • Can articulate a clear, prioritized research direction for reducing catastrophic risks over the next few years.
  • Proven experience leading teams and mentoring early-career researchers, with a focus on technical growth.
  • Able to communicate complex technical ideas to non-technical audiences, including policymakers and funders.

📝 Tips for Applying to Far.Ai

1

Tailor your research agenda to Far.Ai's focus on catastrophic risks; avoid generic AI safety topics.

2

Highlight specific examples of mentoring or leading research teams, with measurable outcomes.

3

Showcase hands-on coding and experiment design in your past work; include links to GitHub or papers.

4

Mention any experience with grantmaking or policy engagement, even if informal.

5

Align your application with Far.Ai's values: transparency, collaboration, and high-impact orientation.

✉️ What to Emphasize in Your Cover Letter

['Your clear vision for the most impactful AI safety research directions in the next 2-3 years.', 'Concrete examples of leading teams and mentoring researchers to produce high-quality work.', 'How your technical skills (e.g., ML, mechanistic interpretability) directly apply to reducing catastrophic risks.', "Your motivation for working at a nonprofit and your interest in Far.Ai's unique blend of research and influence."]

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • Read Far.Ai's published research and blog posts to understand their current focus areas and methodology.
  • Review their grantmaking portfolio to see which projects they fund and why.
  • Look into their recent policy statements or engagements with governments and companies.
  • Understand the broader AI safety landscape and where Far.Ai fits among organizations like MIRI, Anthropic, or OpenAI.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe your proposed research agenda for reducing catastrophic risks from AI. Why these priorities?
2 How would you mentor a junior researcher struggling with a complex alignment problem?
3 Walk us through a past project where you wrote code and ran experiments. What was your approach?
4 How would you communicate a novel safety method to a non-technical policymaker?
5 What are the biggest challenges in building a team focused on catastrophic risk reduction, and how would you address them?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Submitting a generic research proposal not tailored to catastrophic risk reduction.
  • Overemphasizing theoretical work without demonstrating practical coding or experiment skills.
  • Failing to show a collaborative mindset; Far.Ai values teamwork and mentorship over solo achievements.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Far.Ai!