General Interest

Working at Goodfire

Goodfire is a research lab advancing the field of AI interpretability.

Our mission is to solve the technical alignment problem for powerful AI systems. We believe that major advances in mechanistic interpretability - understanding how AI systems work internally - are key to solving this challenge.

Goodfire is a public benefit corporation headquartered in San Francisco.

Don't see the right role for you?

We're always hiring exceptionally talented people. If none of the current openings are a fit, then please apply here and we'll be happy to review your information and see if we might have a role open for you. Our team will continue to monitor incoming profiles and will reach out when we have an opportunity that could be a fit.

Our Values:

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

• High agency: You are self-directed, proactive, and take ownership of your work, setting and accomplishing ambitious goals independently while collaborating effectively with others.
• Constant improvement: You have deep intellectual curiosity and are always seeking to expand your knowledge and reflect on what you could be doing better.
• Strong opinions, loosely held: You foster an environment where well-intentioned disagreement leads to reaching the best solutions. You argue strongly for what you believe and are not afraid to change your mind when you are wrong.
• Deeply mission driven: You understand that the path to building a game-changing interpretability product will not be easy and are prepared to put in the hard work every day. You put the team before yourself and are fully committed to advancing our understanding of AI.
• Thoughtful and pragmatic: You approach your work and interactions with others with nuance and humility. You think deeply about all angles of a problem, not just the one you advocate for. You operate with the understanding that not everything can be perfect.

If you share our values, we encourage you to apply and join us in shaping the future of how we design AI systems.