NumPy Debugging

MLE / ResearchAnthropicLast reported June 2026Low Frequency
Reported
3× across candidate reports
First seen
May 2026
Last reported
June 2026
Also asked in
OA
Reported outcome
pass

Problem Overview

Anthropic MLE / research question, reconstructed from 3 candidate reports (May 2026 to June 2026). Tests: reading code: debugging, refactoring, review.

  • 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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