Goodfire is looking to solve the problem of understanding and designing AI systems that people can trust by advancing humanity's understanding of AI to build safe and powerful AI systems.
Requirements
- 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.
- Open-source ML infra contributions.
- Startup or frontier lab experience in fast-moving teams.
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.
- Building the tools and infrastructure to support dissection and design of models at frontier scale.
- Extending and supporting our training infrastructure for large training runs.
- Turning state of the art interpretability research into robust, usable product features.
Other
- 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.
- Take ownership and initiative: There are no bystanders here. We proactively identify problems and take full responsibility over getting a strong result.
- 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.
- Market competitive salary, equity, and competitive benefits.
