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Member of Technical Staff, Evals & Post-Training Product

Fireworks AI· Engineering
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San Mateo, CA$175k - $220kFull-timePosted 11mo ago

About the role

Role focused on defining and shipping evals and post-training workflows to connect evaluation and fine-tuning into a continuous loop, including internal eval tooling, open-source Eval Protocol SDK, and fine-tuning experiences across SFT/RFT.

Responsibilities

  • Build internal eval workflows: Design and scale evaluation tooling used by internal teams to measure model quality, compare model changes, and inform post-training decisions.
  • Own fine-tuning product experiences: Build and improve user-facing product workflows for post-training, including fine-tuning experiences across SFT, RFT, and related model-improvement capabilities.
  • Work closely with users: Partner with customers and internal stakeholders to understand evaluation and fine-tuning needs, support high-priority engagements, triage issues, and convert bespoke workflows into productized solutions.

Qualifications

  • 1 - 7 years of software engineering experience (We are hiring at multiple levels for this role).
  • Hands-on experience with LLM evaluations and/or post-training methods: How to design useful evals and use their results to guide model improvement.
  • Product Engineering Skills: The ability to work across backend systems and developer-facing product surfaces. Comfortable shipping full-stack features when needed.
  • Understanding of the GenAI Lifecycle: You understand the end-to-end workflow—from prompting a base model to curating a dataset, fine-tuning, and productionizing agents—and how these steps interconnect.
  • User-Centric Mindset: Willing to talk to users, triage GitHub issues for open-source projects, and build products from scratch to serve emerging needs.

Skills

Required:Software engineeringLLM evaluationsPost-training methodsProduct engineering

Benefits

  • Total compensation includes meaningful equity, competitive salary, and comprehensive benefits package.
Last updated Jul 29, 2026. Interested? Apply on the company site.
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