Machine Learning Engineer

About the role

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.

About the role

We’re looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You’ll play a central role in building our core technology, from training and eval tooling to product features, to achieve our mission of understanding and intentionally designing AIs.

Where you might contribute:

- Interpretability tools – Building the tools and infrastructure to support understanding and intentional design of models at industry scale.

- Training infrastructure – Extending and supporting our training infrastructure for large training runs.

- Product – Turning state of the art interpretability research into robust, usable product features.

We'll work with you to determine the team that best aligns with your strengths.

Key responsibilities:

- Turn cutting edge interpretability research into production ready tools.

- Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.

- Integrate new machine learning workflows and pipelines into our product and deploy to customers.

- Ensure system reliability, reproducibility, and performance.

What you’ll bring

Required experience

- 5+ years of experience in ML infra, research engineering, or systems programming.

- Comfort working across research and engineering boundaries.

- Expertise in Python, PyTorch or Jax, and distributed systems.

- Experience deploying and maintaining ML systems at scale.

- You care about understanding how models work internally and using that to make them more reliable and useful in the real world.

Preferred qualifications

- Open-source ML infra contributions.

- Startup or frontier lab experience in fast-moving teams.

Our values

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.