Goodfire
Forward Deployed Engineer
$200K–$325K
San Francisco, CA +1 · Full-time · Posted Apr 14, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Production experience is required; no number of years stated.
- Education
- Technical degree or equivalent professional experience within AI, ML, or a related field (preferred).
About the job
Deploys Goodfire’s interpretability platform in partner environments by building integrations, running pilots, and delivering production-ready solutions alongside customer teams.
What you'll do
- Build production-grade integrations, pipelines, tooling, and evaluation workflows for partners.
- Design and execute short-timeline pilots and serve as the day-to-day technical contact for partner teams.
- Adapt interpretability research for production use and share engagement learnings through reusable tools and playbooks.
What they ask for
- Strong software engineering skills and production experience in Python and modern ML frameworks (PyTorch, JAX).
- Ability to work across research and engineering, understand new techniques, and ship them.
- Ability to learn quickly and persist through ambiguity.
- Strong communication skills for explaining technical tradeoffs to technical and non-technical stakeholders.
Nice to have
- Technical degree or equivalent professional experience within AI, ML, or a related field; experience in forward-deployed, solutions, or customer-facing engineering; or former technical founder experience.
- Experience with LLMs, interpretability, mechanistic interpretability, model internals, or a high-growth startup or frontier AI lab.
Pay
$200,000 - $325,000 USD (base salary)
Tools
Python, PyTorch, JAX
AI focus
Deploys interpretability methods and platform capabilities in partner model-training environments, bridging research and production.
Model-written summary · the original posting is authoritative