Goodfire
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.
Headquarters
San Francisco, California, United States
Company Size
1-10 employees
Founded
2024
Goodfire is an AI interpretability research lab focused on understanding and intentionally designing advanced AI systems. The company develops Silico, a platform that enables organizations to understand, debug, and design AI models with the precision of written software — uncovering hidden representations, identifying undesired behaviors, and making targeted interventions. Goodfire conducts fundamental research into neural network science and applies its findings across domains including life sciences, robotics, and large language models.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Goodfire.
Mapping the Mind of a Neural Net: Goodfire’s Eric Ho on the Future of Interpretability
Oct 29, 2025
Machine Learning Engineer (Life Sciences)
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