Goodfire is seeking a senior engineering leader to own and evolve their research platform and training infrastructure, defining the technical vision and implementation strategy for systems that power their research breakthroughs in AI interpretability.
Requirements
- 5+ years of experience in ML infrastructure, research engineering, and/or systems programming
- Technical proficiency in Python, PyTorch/JAX, and distributed systems
- Production experience deploying and maintaining ML systems at scale
- Deep experience in Python, PyTorch, and large-scale training strategies
- Hands-on with end-to-end ML infrastructure: from experiments to serving
- Strong track record of scaling systems and debugging complex runs
- Contributions to open-source ML infrastructure projects
Responsibilities
- Design and build customizable training pipelines that scale from experimentation to production
- Architect and implement large-scale model serving infrastructure for interpretability
- Identify and execute on opportunities to dramatically accelerate research velocity
- Lead technical decision-making for infrastructure that supports cutting-edge AI research
Other
- Leadership experience as senior architect, tech lead, and/or engineering manager
- Cross-functional expertise bridging research and engineering domains
- Mission alignment with advancing AI safety and interpretability
- High-ownership leadership
- Research-to-production mindset
