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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 daily.

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1
CodingStart here. 5 questions · ~51 min
Longest Palindromic SubstringHard
Practice

Find the earliest longest palindromic substring using Manacher's linear-time string algorithm.

Dynamic ProgrammingSamsung 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 Learning9 questions · ~92 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
Reinforcement Learning FoundationsMedium

Assesses your understanding of reinforcement learning fundamentals and terminology.

basicsSamsung Electronics America
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3
System Design3 questions · ~31 min
Real-Time Edge Segmentation PipelineHard

Tests system design for on-device ML, including performance constraints and deployment considerations.

Cold StartFeature DriftModel ServingSamsung Electronics America
Edge Transformer Deployment OptimizationHard

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

Feature StoreModel ServingdeploymentSamsung Electronics America
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4
Behavioral & Leadership5 questions · ~51 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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