Machine Learning Engineer
Goodfire AI· Research and Development
Hybrid (San Francisco, CA; New York, NY)$200k - $400kfull-timePosted 3mo ago
About the role
Machine Learning Engineer role at Goodfire, an AI interpretability research lab, focused on building platform tooling for training, evaluating, and deploying interpretable AI systems at scale.
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.
Qualifications
- 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.
Skills
Required:ML infrastructurePythonPyTorch or JaxDistributed systemsML deployment
Benefits
- market competitive salary
- equity
- competitive benefits
Last updated Sep 15, 2026. Interested? Apply on the company site.
About Goodfire AI
Goodfire AI is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems.
AI interpretabilityresearchSilicointentional designmodel debugging
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