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 Forward Deployed Engineer to be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to design solutions under real-world constraints, and the comfort to operate directly alongside customer engineering and research teams.
What they're looking for
- Strong software engineering skills with production experience in Python and modern ML frameworks (PyTorch, JAX)
- Ability to work across research and engineering boundaries - you can understand a new technique and figure out how to ship it
- Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist "can-do" mindset
- Strong communication skills - you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders
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 Forward Deployed Engineer to be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to design solutions under real-world constraints, and the comfort to operate directly alongside customer engineering and research teams.
This is a...
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