Research Scientist (London)

Role Summary

About Goodfire

Goodfire is an AI interpretability research lab. We build interpretability agents and infrastructure to understand, monitor, and align AI models.

We believe that AI is the most consequential technology of our time. Yet AI models are trained by trial and error today, with limited understanding of what drives their behavior. Our goal is to advance the research and technology needed to fully understand and align AI so humanity can trust superintelligence.

Goodfire is a public benefit corporation founded by researchers who helped pioneer the field of interpretability at OpenAI and Google DeepMind. We are headquartered in San Francisco and have raised over $200M from leading investors including Lightspeed, Menlo, and B Capital.

We’re looking for a Research Scientist to join our team and develop new techniques for understanding and steering large AI models. You’ll work closely with a small, mission-driven team of scientists and engineers to conduct novel research, build practical tools, and push the field forward.

Responsibilities

• Conduct original research in interpretability and related fields.
• Prototype techniques to visualize and manipulate internal model structures.
• Collaborate with engineering to turn research into production-ready tools.
• Share your work through publications, demos, and open-source contributions.
• Help define and evolve our research direction.

Requirements

• PhD or equivalent experience in ML, computer science, or a quantitative science.
• Deep familiarity with large models and a passion for understanding how they work.
• Fluency in Python and ML frameworks such as PyTorch.
• Strong writing and communication skills for explaining complex ideas.
• Drive to move quickly and take ownership.

Preferred qualifications

• Experience leading research or contributing to open-source codebases.
• Familiarity with interpretability, alignment, or safe model development.
• Experience in startup or fast-paced lab environments.

Benefits

This role offers market competitive salary, equity, and competitive benefits.

Most importantly, you'll have the opportunity to join a vital mission at an important point in its trajectory — we are developing groundbreaking technology with a world-class team on the critical path to ensuring a safe and beneficial future for humanity. If you want to do your life’s work with us, even if you believe you do not meet every single requirement, apply now.

Where you might contribute

• Interpretability mechanisms – Foundational research on how models represent and process information.
• Moonshots – High-upside bets on novel techniques that could unlock breakthroughs in model understanding.
• Applied research & usability – Translating research into tools for real-world users and enterprise applications.

You’ll be working closely with our team in London, who focus on mechanistic understanding of the algorithms that neural networks have learned.

About the Company

Goodfire is looking for individuals who embody our values and share our deep commitment to making interpretability accessible. We are building a team first and foremost.

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.

Where we work

We are hiring for this position in our London, England office. We are in person 5 days a week, with one company-wide remote week per month.