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Updated weekly · Last refresh Aug 30

Etsy Machine Learning Engineer Interview Questions

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

25questions
~4htotal time
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1
CodingStart here. 4 questions · ~35 min
2
Model Evaluation4 questions · ~35 min
Choosing Model Evaluation TechniquesEasy

Explain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.

PrecisionAccuracyRecallEtsy
Precision, Recall, and F1Easy

Tests understanding of classification metrics and tradeoffs.

F1 ScorePrecisionRecallEtsy
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3
Machine Learning10 questions · ~87 min
L1 vs L2 RegularizationMedium

Explain how L1 and L2 regularization differ geometrically and probabilistically, grounded in a practical supervised learning example.

Feature EngineeringRegularizationSupervised LearningEtsy
Bias-Variance Tradeoff in PracticeMedium

Explain the bias-variance tradeoff and how it guides model choice, regularization, and generalization performance.

Cross-ValidationBias-Variance TradeoffRegularizationEtsy
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4
Behavioral & Leadership4 questions · ~35 min
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5
More topics3 questions · ~26 min
Deploy a Cloud ML Inference SystemMedium

Design a cloud ML deployment system for a security product, covering training, serving, updates, and production monitoring.

InfrastructureFeature DriftModel ServingEtsy
ML Pipeline ArchitectureHard

Tests end-to-end understanding of building, validating, and deploying ML systems.

InfrastructureETLOrchestrationEtsy
Design Etsy Recommendation SystemHard

Tests system design skills for building scalable recommendation solutions.

ML RankingFeature StoreRecommendation SystemsEtsy
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