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Samsung Electronics America Machine Learning Engineer Interview Questions

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

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1
CodingStart here. 6 questions · ~59 min
Maximum Path Sum in TreeMedium
Practice

Use DFS tree dynamic programming to compute the maximum path sum across any parent-child path in a binary tree.

RecursionTreesGraphsSamsung Electronics America
Find Two Sum IndicesEasy
Practice

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysSortingSamsung Electronics America
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2
Machine Learning11 questions · ~109 min
Vanishing Gradients in Deep NetworksMedium

Explain vanishing gradients in deep networks and how residual connections, batch normalization, and activation choice improve training.

Neural NetworksDeep LearningGradient DescentSamsung Electronics America
Imbalanced Dataset TrainingMedium

Tests practical strategies for class imbalance and ability to compare loss and data interventions.

loss functionsDeep LearningClass ImbalanceSamsung Electronics America
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3
System Design3 questions · ~30 min
Edge Transformer Deployment OptimizationHard

Tests practical deployment optimization techniques for large transformer models under edge constraints.

Feature StoreModel ServingdeploymentSamsung Electronics America
Scalable App Store RecommenderHard

Tests end-to-end recommender system architecture and ability to support real-time serving.

RetrievalModel ServingRecommendation SystemsSamsung Electronics America
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4
Behavioral & Leadership6 questions · ~59 min
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5
More topics2 questions · ~20 min
Debug Training to Production GapHard

Approach for debugging a model that looks strong offline but fails after deployment.

Cross-ValidationCalibrationPrecisionSamsung Electronics America
Probability and Statistics for MLMedium

Evaluates your ability to apply probability and statistics concepts to ML problems.

experiencestatisticsSamsung Electronics America

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