LinkedIn Machine Learning Engineer Interview Questions

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

37questions

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CodingStart here. 7 questions · ~63 min

Sort intervals by start time, then merge overlapping ranges into a minimal non-overlapping list.

Weighted Random SelectionMedium

Practice

Generate repeated weighted picks using prefix sums and binary search in O(n + k log n) time.

Algorithms

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Machine Learning8 questions · ~72 min

Extreme Imbalance in Fraud DetectionMedium

Handle rare positive labels in ad fraud detection with the right sampling, loss design, validation, and thresholding strategy.

Feature Engineeringmodel trainingClass Imbalance

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System Design5 questions · ~45 min

Real-Time LinkedIn Feed RankingHard

Tests system design for low-latency ranking and product-driven metric tradeoffs.

ML RankingRetrievalModel Serving

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Behavioral & Leadership12 questions · ~108 min

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More topics5 questions · ~45 min

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

Pipeline Stage for Missing ValuesMedium

Tests data preprocessing design and robustness for ML training and serving.

Data Qualitymonitoringtransformations

Another Probability QuestionEasy

Assesses problem-solving with probability concepts used in ML.

probability

Transformer Knowledge for NLPMedium

Evaluates knowledge of Transformer architectures and their use in NLP.

transformersNLP

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