Liquid Ai
Member of Technical Staff - Evaluations
San Francisco, Remote. Posted 4 days ago
The role
You will work on the internal eval suite and infrastructure end to end. You will design held-out evals for capabilities like agentic workflows, computer use, and cybersecurity.
What you will do
- Work on the internal eval suite and infrastructure to keep it reliable, optimized, and reproducible at scale.
- Design held-out evals for priority capabilities such as agentic workflows, computer use, and cybersecurity.
- Build evals targeted at small edge models.
- Read generated outputs to debug unexpected scores.
- Turn customer and open-source feedback into environments usable for data, training, and evaluation.
- Partner with other teams to design evals for their specific needs.
- Release open-source evals, write papers, and publish failure-mode reviews of popular evaluations.
Required qualifications
- Unusually strong eval design skills to turn high-level descriptions into accurate, hard-to-game evaluations.
- Experience building recognizable evals that hold up on coverage, reproducibility, contamination handling, and signal.
- At least one eval built from scratch, such as a benchmark, an eval paper, or real 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.
- The habit of debugging unexpected scores by reading individual generated answers.
- Software engineering strong enough to own eval infrastructure and debug inference and infra failures at scale.
Nice to have
- Model training experience
- Publications or research background
- Deep systems expertise
- Familiarity with what small edge models do and don't do well
Benefits
- Competitive base salary plus equity
- Unlimited PTO
- Company-wide Refill Days
- Comprehensive health coverage
- Paid leave for pregnancy, parenting, medical needs, and caring for family
About the company
Spun out of MIT CSAIL, Liquid AI builds general-purpose AI systems that run efficiently across deployment targets. They partner with enterprises across consumer electronics, automotive, life sciences, and financial services.