Drimva

Jarmin

Member of Technical Staff (Evals)

San Francisco, CA, US · Staff · Full-time · Posted Aug 16, 2026

Experience
3+ years of experience
Visa sponsorship
US citizen or visa holder only

About the job

Own systems for measuring AI Employee performance and improving evaluation, feedback, and failure detection over time.

What you'll do

  • Build evaluation systems, including datasets, offline replay, scorers, and regression alerts.
  • Develop feedback loops for models and agents and support autonomous failure analysis.
  • Define and alert on good, degraded, and failed runs.

What they ask for

  • Experience building evaluation or measurement systems, such as AI evals, experimentation, ranking, or search quality.
  • Ability to turn ambiguous quality questions into concrete metrics and decisions.
  • Strong software engineering fundamentals and experience shipping production systems.
  • Willingness to work in person in San Francisco.

Nice to have

  • Have shipped LLM systems to production.
  • Strong data instincts, collaboration with researchers, or open-source contributions.

AI focus

Measure and improve AI Employee performance through evaluation systems, model and agent feedback loops, and failure analysis.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)