Top 46
Prep plan
Updated weekly · Last refresh Nov 12

eBay Machine Learning Engineer Interview Questions

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

46questions
~7htotal time
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1
CodingStart here. 7 questions · ~64 min
Calculate Classification AccuracyEasy
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Implement a function that computes classification accuracy by comparing predicted labels with true labels.

MathArraysStringseBay
Decision Tree From ScratchHard
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Implement a CART-style decision tree from scratch using Gini impurity, recursive splitting, and deterministic predictions.

RecursionTreesDecision TreeseBay
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2
System Design10 questions · ~92 min
Choose Online vs Batch ServingHard
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Choose an architecture for model inference, comparing online and batch serving for a production ML system.

InfrastructureTrade-offsModel ServingeBay
Design Cold Start RecommendationsHard
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Design a recommendation system strategy for new users and new items when interaction history is sparse or missing.

Cold StartFeature StoreRecommendation SystemseBay
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3
Machine Learning13 questions · ~120 min
Prevent Overfitting in ML ModelsEasy
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Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationeBay
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4
Pipelines4 questions · ~37 min
Feature Engineering WorkflowMedium
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Evaluates your data preparation and feature engineering process for ML pipelines.

data preparationFeature EngineeringeBay
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5
Model Evaluation4 questions · ~37 min
Offline and Online MetricsMedium
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Evaluates your ability to measure ML quality offline and impact online for eBay-like systems.

performance evaluationMetricseBay
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6
Behavioral & Leadership6 questions · ~55 min
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7
More topics2 questions · ~18 min
NLP Retrieval and SimilarityMedium
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Evaluates your ability to compare modeling approaches for retrieval and similarity in NLP.

TF-IDFeBay
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The finish line: interview-readyComplete all 46 questions to finish this plan.