Member of Technical Staff - Evaluations

Liquid AI is an efficiency-first foundation-model company building device-native Liquid Foundation Models (LFMs) and tools to customize and deploy them.

Series A8 current maintainers7 active leads8 lead step-downs5 early lead departures
Cambridge, Massachusetts, United States
About Liquid AI

An MIT CSAIL spinout, Liquid AI develops general-purpose AI models focused on efficient deployment across CPUs, GPUs, NPUs, edge devices, and cloud or on-premises environments.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will work end to end on the internal eval suite and infrastructure, keeping it reliable and reproducible at scale. You will design held-out evals for capabilities like agentic workflows, computer use, and cybersecurity, build evals for small edge models, debug unexpected scores by reading outputs, and publish open-source evals and papers.

Requirements

  • Strong eval design skills producing accurate, general-purpose, hard-to-game evaluations
  • Previously built evals, at least one from scratch (benchmark, eval paper, or contributions to lm-eval-harness, lighteval, OLMES, HELM, or Inspect)
  • Fluency with contamination, saturation, judge bias, and variance
  • Hands-on experience running and managing evals in a team
  • Habit of debugging scores by reading generated answers
  • Software engineering skills to own eval infrastructure and debug inference and infra failures at scale

Responsibilities

  • Maintain the internal eval suite and infrastructure so it is reliable, optimized, and reproducible at scale
  • Design held-out evals for priority capabilities such as agentic workflows, computer use, and cybersecurity, with contamination checks
  • Build evals targeted at small edge models
  • Read generated outputs to debug unexpected scores
  • Turn customer and open-source feedback into environments for data, training, and evaluation
  • Partner with other teams to design evals for their needs
  • Release open-source evals, write papers, and publish failure-mode reviews of popular evaluations

Benefits

  • Equity
  • Unlimited PTO
  • Company-wide Refill Days
  • Comprehensive health coverage
  • Paid leave for pregnancy, parenting, medical needs, and family care
Member of Technical Staff - Evaluations at Liquid AI | JobStash