Design a Game Recommendation System

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Quick Overview

This question evaluates mastery of designing scalable end-to-end machine learning recommendation systems, including candidate generation, multi-stage ranking, feature and label design, cold-start and long-tail handling, safety and age-appropriateness constraints, evaluation strategies, and production monitoring.

Design a Game Recommendation System

Company: Roblox

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Onsite

Overview: This question evaluates mastery of designing scalable end-to-end machine learning recommendation systems, including candidate generation, multi-stage ranking, feature and label design, cold-start and long-tail handling, safety and age-appropriateness constraints, evaluation strategies, and production monitoring.

Read the full Roblox Machine Learning Engineer interview experience this question came from

|Home/ML System Design/Roblox
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Roblox
May 7, 2026
mediumMachine Learning EngineerOnsiteML System Design
18
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