Game / Social Recommendation System Design

System DesignRobloxLast reported May 2026Medium Frequency
Reported
8× across candidate reports
First seen
June 2025
Last reported
May 2026
Reported outcome
mixed

Problem Overview

Design a recommendation system for games (or content) on Roblox. Variants observed across candidates: 1. Full ML pipeline: How do you recommend games to users? Cover the entire ML/recommendation pipeline — feature selection and engineering, model architecture, training data, loss functions, optimization algorithms, offline/online evaluation metrics, and A/B testing. Not…

  • 7 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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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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