Machine Learning Engineer
Goodfire AI · San Francisco, CA & New York, NY · San Francisco
CHECKED 2H AGO
Infrastructureonsitesenior$200k–$400k
At a glance
Highlights
- Build platform for training, evaluating and deploying interpretable AI at scale.
- Turn cutting-edge interpretability research into production-ready tools.
- Optimize pipelines for frontier model interpretability and inference.
What they offer
- Market competitive salary
- Equity
- Competitive benefits
Ideal candidate
A mission-driven engineer who thrives across research and engineering, takes ownership in fast-moving teams, and cares about understanding models internally to make them safer and more useful.
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
- Passion for understanding how models work internally to make them reliable and useful
- remote policy
- In-person 5 days a week with one company-wide remote week per month
Lab profile
About Goodfire AI
AI interpretability research lab building agents and infrastructure to understand, monitor, and align AI models.
What they build
- Interpretability agents
- Interpretability infrastructure
Known for
- AI interpretability research
- Model understanding and monitoring
- AI alignment