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# Forward Deployed Engineer

- **Company:** GOODFIRE, LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $200,000.0 - $325,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Python (Programming Language), Language Modeling, Performance Tuning, Tensorflow, Azure Machine Learning, Software Engineering, Pytorch, Large Language Models, Production Code, Api Management
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-san-francisco-ca--6f6fce19-fb39-4d38-bc5b-718459309166

## About the Role

Research Laboratory, Artificial Intelligence (AI), Technical Research, Technical Support, Technical Delivery, Building Codes, Robotics, Biology, Modeling Languages, Application Programming Interface (API), * 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., * 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.).

## Description

We're looking for a Forward Deployed Engineer to 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., * 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