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Updated weekly · Last refresh Oct 17

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 daily.

24questions
~3htotal time
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1
CodingStart here. 4 questions · ~35 min
Implement Decision Tree FunctionHard
Practice

Implement a binary CART decision tree that selects numerical splits using Gini impurity.

RecursionTreesDecision TreesEtsy
Implement K-Means in PythonHard

Assesses practical ability to implement a core clustering algorithm from scratch.

implementationEtsy
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2
Machine Learning9 questions · ~78 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
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationEtsy
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3
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
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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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