Goodfire
Field Team - Member of Technical Staff
San Francisco, CA · Staff+
Sponsorship not specified$200k-$325kDetected 99 days ago
PythonMachine LearningPyTorchLLMsRoboticsResearchCommunication
About the role
- This role turns frontier research into deployed reality.
Responsibilities
- Own technical delivery for partner engagements: build production-grade integrations of Goodfire's platform into customer environments - from API integrations and custom pipelines to internal tooling and evaluation workflows
- Run pilots that prove value fast: design and execute creative, short-timeline pilots that demonstrate the platform's impact, often in parallel with or ahead of longer-term solution scoping
- Embed with partner engineering teams: serve as the day-to-day technical point of contact, going deep in their codebase, understanding their infrastructure, and building trust through competence
- Compound learnings across engagements: bring field insights back to the platform and research teams, identify repeatable patterns, and build shared tooling and playbooks that scale the Field Team
- Bridge research and production: take novel interpretability methods from the Foundational Team and figure out how to make them work reliably in a partner's stack - this means being comfortable reading papers, prototyping new techniques, and hardening them for production use
- Goodfire is a research company using interpretability to understand, learn from, and design AI systems.
- build production-grade integrations of Goodfire's platform into customer environments - from API integrations and custom pipelines to internal tooling and evaluation workflows
- design and execute creative, short-timeline pilots that demonstrate the platform's impact, often in parallel with or ahead of longer-term solution scoping
- bring field insights back to the platform and research teams, identify repeatable patterns, and build shared tooling and playbooks that scale the Field Team
Requirements
- Strong software engineering skills with production experience in Python and modern ML frameworks (PyTorch, JAX).
- Ability to work across research and engineering boundaries - you can understand a new technique and figure out how to ship it.
- Scrappiness, willingness to persist in ambiguity, ability to learn quickly, and a generalist "can-do" mindset.
- Strong communication skills - you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
- Required experience
Nice to have
- Technical degree or equivalent professional experience within AI, ML, or a related field.
- Experience in a forward-deployed, solutions, or customer-facing engineering role.
- Track record of excellence in a high-growth startup or frontier AI lab.
- Experience with large language models, including fine-tuning, evaluation frameworks, or agent development.
- Familiarity with interpretability, mechanistic interpretability, or model internals (sparse autoencoders, feature steering, etc.).
- Put mission and team first
- We trust each other, deeply care about the success of the organization, and choose to put our team above ourselves.
- Improve constantly
Compensation
- The expected salary range for this position is $200,000 - $325,000 USD.
Benefits
- This role offers market competitive salary, equity, and competitive benefits.
Company info
- Our mission is to build the next generation of safe and powerful AI-not by scaling alone, but by understanding the intelligence we're building.
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This listing is sourced directly from Goodfire's careers page and normalized into a canonical job model.