Waymo data fluency interview

Round 5 of 6 · 2 questions reported

See the whole loop
Length
45 min
Format
No coding: reason about metrics and experiment design for a driving or simulation scenario
They grade
Hypotheses, metrics, confounders and stratification by scenario; acknowledging the gap between simulation and the road
Heads-up
Appears in about half of SWE and MLE onsites.

Questions Waymo asks in this round 2

  • Design a drop-off spot selector for a robotaxiML designDesign an ML system that picks where an autonomous ride-hail vehicle should drop off its passenger near the destination. Cover the candidate spots, the signals and labels you…
    Last asked Mar 2026
  • Design an online experimentML designDesign an online experiment (A/B test) for a product or model change. Cover the hypothesis and metrics, randomization unit, sample size and duration, guardrail metrics, how you…
    Last asked Feb 2026