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Updated weekly · Last refresh Aug 30

Mercari Machine Learning Engineer Interview Questions

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

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~5htotal time
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1
System DesignStart here. 5 questions · ~41 min
Cold-Start and Extreme SparsityMedium

Tests strategies for recommendation quality under sparsity and cold-start conditions.

Feature EngineeringCold StartRecommendation SystemsMercari
Real-Time Session Recommendation SystemHard

Tests system design for low-latency, session-aware recommendations at Mercari.

RetrievalModel ServingRecommendation SystemsMercari
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2
Statistics & Probability4 questions · ~33 min
Testing Fraud Rule ImpactMedium

Tests hypothesis testing and experiment design for fraud policy changes.

Hypothesis TestingStatistical SignificanceP-ValuesMercari
A/B Test Sample Size for RecommendationsMedium

Tests statistical power and experimental planning for ranking improvements.

Power AnalysisSample SizeA/B TestingMercari
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3
Coding6 questions · ~49 min
Closest Match with Prefix and Edit DistanceHard

Tests string matching and algorithmic implementation for marketplace search relevance.

StringsSearchingMercari
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4
Model Evaluation3 questions · ~24 min
Evaluate New Ranking Model in ProductionMedium

Tests A/B testing and online evaluation approach for ranking model improvements.

Evaluation TechniquesModel MetricsA/B TestingMercari
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5
Machine Learning7 questions · ~57 min
Tree vs Neural for CategorizationMedium

Tests model selection reasoning for marketplace item categorization at Mercari.

Neural NetworksModel EvaluationDecision TreesMercari
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6
Behavioral & Leadership12 questions · ~98 min
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7
More topics2 questions · ~16 min
Migrations and Caching for InferenceMedium

Tests operational readiness for ML inference systems under high throughput.

data integrationcachingCloudMercari
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