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Updated weekly · Last refresh Oct 17

Expedia Group Machine Learning Engineer Interview Questions

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

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1
CodingStart here. 5 questions · ~42 min
2
System Design12 questions · ~101 min
Design a Travel ML PlatformMedium

Design the ML infrastructure for a travel marketplace that supports training, feature management, and low-latency serving for ranking systems.

InfrastructureFeature StoreModel ServingExpedia Group
Design an Expedia Trip RecommenderHard

Design a travel recommendation system with retrieval, ranking, and re-ranking for Expedia Group users.

Feature StoreRetrievalRecommendation SystemsExpedia Group
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3
Machine Learning13 questions · ~109 min
L1 vs L2 RegularizationMedium

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

Feature EngineeringRegularizationSupervised LearningExpedia Group
Handling Missing Data in MLMedium
Recently asked

Explain practical strategies for handling missing data and how to validate that the chosen approach improves model performance.

Feature EngineeringData WranglingSupervised LearningExpedia Group
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4
Pipelines4 questions · ~34 min
Interview Agenda and ExecutionMedium

Assesses your ability to structure work across data exploration, system design, and communication.

data processingETLExpedia Group
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5
Behavioral & Leadership14 questions · ~118 min
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6
More topics2 questions · ~17 min
Evaluate a Recommendation SystemMedium

Evaluate whether a recommendation system is improving engagement and ranking quality, not just offline metrics.

PrecisionAccuracyRecallExpedia Group
Choosing Classification Evaluation MetricsEasy
Recently asked

Explain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.

PrecisionAccuracyRecallExpedia Group
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