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Updated weekly · Last refresh Oct 17

YouTube Machine Learning Engineer Interview Questions

The questions to prepare for a YouTube Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 3 questions · ~25 min
Design a Short-Video Retention RecommenderHard

Design a short-video recommendation system that balances immediate engagement with long-term retention in a personalized feed.

ML RankingRetrievalRecommendation SystemsYouTube
Feature Engineering for Real-Time AdsHard

Tests system design for low-latency feature pipelines in a large-scale ML serving environment.

Feature EngineeringYouTube
Monitor and Debug Model DriftHard

Tests ability to detect, diagnose, and mitigate model drift in real-world ML systems.

monitoringDebuggingYouTube
2
Machine Learning3 questions · ~25 min
Cold-Start for New ContentMedium

Assesses strategies for improving recommendations when user or item history is missing.

user engagementRecommendation SystemsYouTube
Model Lifecycle to DeploymentMedium

Evaluates end-to-end ML engineering practices from training through deployment.

production deploymentYouTube
Loss Functions for RecommendationsMedium

Tests understanding of loss functions and how they affect recommendation quality and training.

loss functionsTrade-offsYouTube
3
More topics2 questions · ~17 min
MapReduce BenefitsMedium

Assesses understanding of distributed data processing and when MapReduce is appropriate.

data processingYouTube
Optimize for Large DatasetsMedium

Assesses performance optimization strategies for large-scale data processing.

large datasetsperformanceYouTube

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