Platform Engineer
Goodfire AI · San Francisco, CA · San Francisco
CHECKED 2H AGO
Infrastructureonsite
At a glance
Highlights
- Build core product experience for training and debugging interpretable AI.
- Turn cutting-edge interpretability research into production-ready features.
- Make model internals understandable and actionable for real customer workflows.
What they offer
- Market competitive salary
- Equity
- Competitive benefits
Ideal candidate
Product-minded full-stack builder with 2+ years shipping user-facing products who cares about making complex AI systems clear and reliable. You thrive collaborating across research, design and customers to turn ambiguous ideas into polished products.
Requirements
- 2+ years of experience building production software, especially user-facing products, data-intensive systems, or AI/ML products
- Strong engineering fundamentals and ability to work across the stack, with depth in at least one area
- Strong product judgment for making powerful technical systems clear, reliable, and easy to use
- Comfort working across research, engineering, design, and customer-facing teams
- Interest in understanding how models work internally to make AI more 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