ML Coding: Next-Word Text Generation from a Bigram Frequency Map

MLE / ResearchUberLast reported April 2026Low Frequency
Reported
2× across candidate reports
First seen
April 2026
Last reported
April 2026
Reported outcome
fail

Problem Overview

Uber MLE / research question, reconstructed from 2 candidate reports (April 2026). Candidates reported 1 follow-up. The write-up includes a Python solution that passes 10 test cases.

  • 1 candidate-reported follow-up — the probes candidates report being asked, with the trigger for each
  • The full problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Follow-ups candidates reported, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The follow-ups candidates reported, with the trigger that prompts each one — plus the mistakes that sink people.
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