Research Fellow (All Teams)

About Goodfire

Behind our name: Like fire, AI holds the potential for both immense benefit and significant risk. Just as mastering fire transformed human history, we believe the safe and intentional development of AI will shape the future of our species. Our goal is to tame this new fire.

Goodfire is an AI interpretability research company focused on understanding and intentionally designing advanced AI systems. We believe advances in interpretability will unlock the next frontier of safe and powerful foundation models and that deep research breakthroughs are necessary to make this possible.

Everything we do is in service of that mission. We move fast, take ownership, and constantly push to improve. We believe in acting today rather than tomorrow. We care deeply about the success of the organization and put the team above ourselves.

Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind. We’ve raised $57M from investors like Menlo, Lightspeed and Anthropic and work with customers including Arc Institute, Mayo Clinic, and Rakuten.

The role:

We are seeking talented, early-career researchers or engineers to execute a research project in AI interpretability. Fellows will work alongside leading interpretability researchers at Goodfire, receiving structured mentorship while contributing to important work in AI alignment. The project is expected to span approximately 1-2 months, with some flexibility based on project progress and mutual agreement. This fellowship is designed as a pathway to a full-time role at Goodfire for candidates who demonstrate strong potential and alignment with our mission.

Core responsibilities:

1. Execute an assigned interpretability research project according to established methodology
2. Produce a co-authored research blog post by program completion
3. Implement feedback from mentors while maintaining independent execution capability
4. Commit at least 20 hours per week

Who you are:

Goodfire is looking for experienced individuals who embody our values and share our deep commitment to making interpretability accessible. We care deeply about building a team who shares our values:

Put mission and team first
All we do is in service of our mission. We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.

Improve constantly
We are constantly looking to improve every piece of the business. We proactively critique ourselves and others in a kind and thoughtful way that translates to practical improvements in the organization. We are pragmatic and consistently implement the obvious fixes that work.

Take ownership and initiative
There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result. We are self-driven, own our mistakes, and feel deep responsibility over what we’re building.

Action today
We have a small amount of time to do something incredibly hard and meaningful. The pace and intensity of the organization is high. If we can take action today or tomorrow, we will choose to do it today.

If you share our values and have at least two years of relevant experience, we encourage you to apply and join us in shaping the future of how we design AI systems.

What we are looking for:

• Strong technical background in computer science, machine learning, or related fields
• Previous machine learning research experience
• Proficiency in Python programming and ML frameworks
• Excellent written and verbal communication skills
• Strong preference for candidates who are available to begin full-time immediately following the fellowship

Preferred qualifications:

• Experience with LLM and/or AI interpretability research
• Track record of completing structured research projects end-to-end

Success profile:

• Excel at executing well-defined research plans
• Thrive in collaborative environments
• Can work independently while incorporating structured feedback
• Demonstrate strong interest in AI interpretability

Program benefits:

• Competitive compensation aligned with experience and qualifications
• Full coverage of necessary compute and API costs
• Direct mentorship from a Member of Technical Staff
• Opportunity to co-author published research

This is a fixed-term fellowship position. While full-time positions are not guaranteed following the fellowship, exceptional performance during the program may indicate future opportunities at Goodfire.

This role has the option of working either in person or remote.