Goodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems. Backed by Lightspeed, AI Grant and Menlo.
About the role
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.
What they're looking for
- 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
More about this role
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.
- Interpretability mechanisms – Foundational research on how models represent and process information.
- Moonshots – High-upside bets on novel techniques that could unlock...
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