Machine Learning Engineer, Life Sciences
Goodfire(1 month ago)
About this role
The Machine Learning Engineer (Life Sciences) will work at the intersection of research and engineering to advance Goodfire’s platform for training, evaluating, and deploying interpretable frontier AI systems with emphasis on biological and scientific foundation models. The role partners with customers and internal teams to translate interpretability research into production tools and workflows for applications like precision medicine, digital pathology, and drug discovery. This position is within a small, mission-driven research organization focused on safe and transparent AI development.
Required Skills
- Python
- PyTorch
- Jax
- Distributed Systems
- ML Infrastructure
- Research Engineering
- Systems Programming
- Model Deployment
- Pipeline Optimization
- Model Interpretability
+5 more
About Goodfire
goodfire.aiGoodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems. The company’s work centers on interpretability and safety research to help organizations build AI they can trust. Goodfire publishes research and partners with customers to translate insights into safer, more controllable models. It is backed by $59M from Menlo, Lightspeed, Anthropic and other leading investors.
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