Drimva

Build AI

Member of Technical Staff, Evals Lead

San Francisco · On-site · Staff · Full-time · Posted Aug 30, 2026

About the job

Lead rigorous benchmarks of video and world-model capabilities to determine how Build AI’s data affects model performance and inform research, training, and data decisions.

What you'll do

  • Design and run comparable benchmarks with and without Build AI data, including held-out tasks and contamination and leakage checks.
  • Build analytics to track performance, failure patterns, and how dataset scaling affects capabilities.
  • Coordinate with research and dataset-quality teams to improve evaluation and data-collection processes.

What they ask for

  • Have shipped or driven consequential evaluations that changed training, hiring, product, or data decisions.
  • Understand evaluation philosophy, including validity and what results can legitimately claim.

Nice to have

  • Experience with video, robotics, world models, or multimodal evaluations.
  • Experience designing evaluations for papers, product launches, or data decisions, or with evaluation operations.

AI focus

Evaluate video and world-model capabilities, measure the effects of training data, and develop repeatable evaluation processes.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 6, 2026 (UTC)