Field Team - MTS
About The Position
We're looking for a Member of Technical Staff to join our Field Team and be the technical backbone of our customer engagements, the person who takes our interpretability platform and makes it work inside a partner's environment, end-to-end. This role demands strong engineering capability, the ability to learn new domains fast, the creativity to design solutions under real-world constraints, and the comfort to operate directly alongside customer engineering and research teams. This is a hands-on, high-ownership role where you will be forward-deployed with our most strategic partners: writing production code, building integrations, running pilots, and owning technical delivery day-to-day. This role turns frontier research into deployed reality. You will typically be working with deeply technical partners - Heads of AI, research teams, ML platform teams - across Life Sciences, Robotics and Vision, Language and Reasoning models, or new verticals, helping them integrate our platform into their model training stack.
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.
Nice To Haves
- Technical degree or equivalent professional experience within AI, ML, or a related field.
- Experience in a forward-deployed, solutions, or customer-facing engineering role. Former technical founders encouraged to apply.
- 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.).
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
Benefits
- This role offers market competitive salary, equity, and competitive benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
