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Microsoft Machine Learning Engineer Interview Questions

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

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1
CodingStart here. 10 questions · ~104 min
Serialize Binary Tree for MessengerMedium
Practice

Problem In Meta Messenger infrastructure, tree-shaped data may need to be converted into a string for transport and rebuilt later. Implement functions to s...

RecursionHash TablesTreesMicrosoft
Check Binary Tree BalanceEasy
Practice

Use postorder recursion to determine whether a binary tree is height-balanced in O(n) time.

RecursionSearchingTreesMicrosoft
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2
Machine Learning10 questions · ~104 min
Improve Loan Default Prediction FeaturesEasy

Build and compare baseline and engineered-feature classifiers for consumer loan default prediction, and explain how feature engineering changes model performance.

Cross-ValidationFeature EngineeringSupervised LearningMicrosoft
Detect Card Fraud with Imbalanced DataEasy

Build an imbalanced binary classifier for card fraud detection using class weighting, resampling, and threshold tuning with PR-focused evaluation.

Hyperparameter TuningCross-ValidationFeature EngineeringMicrosoft
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3
Model Evaluation10 questions · ~104 min
Choose a Classification ThresholdMedium

Choose a decision threshold for a classifier using precision, recall, calibration, and confusion matrix tradeoffs.

Confusion MatrixPrecisionThreshold TuningMicrosoft
Balance Precision and RecallEasy

Interpret a healthcare classifier with high precision but low recall, and decide when to prioritize fewer false alarms versus fewer missed cases.

F1 ScorePrecisionRecallMicrosoft
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4
Pipelines9 questions · ~94 min
Design an End-to-End Data PipelineMedium

Approach for designing an end-to-end data pipeline from ingestion through transformation, storage, and downstream consumption.

data pipelinedesigningestionMicrosoft
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5
NLP9 questions · ~94 min
Compare CNNs, RNNs, and TransformersHard

Explain how CNNs, RNNs, and Transformers differ for text modeling, and when each architecture is a better fit.

Neural NetworksLanguage ModelsDeep LearningMicrosoft
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6
More topics2 questions · ~21 min
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