ML System Design: News Feed / Personalized News Feed

Tech Deep DiveRobinhoodLast reported June 2025Low Frequency
Reported
3× across candidate reports
First seen
April 2025
Last reported
June 2025
Reported outcome
mixed

Problem Overview

Design a machine learning system for a personalized news feed, specifically in the context of a financial platform (e.g., Robinhood). The system should recommend relevant financial news articles to users. You are expected to define the problem scope, clarify domain focus…

  • 3 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the 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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Full problem statements, candidate-reported follow-ups, and walkthroughs — for every Robinhood question.
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
Codex Fact-Checked
Technical claims, formulas, and scale numbers are reviewed against primary sources.
Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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