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Updated weekly · Last refresh Oct 17

SmartNews Machine Learning Engineer Interview Questions

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

30questions
~5htotal time
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1
System DesignStart here. 9 questions · ~83 min
Design a Sponsored Ad RankerHard

Design a sponsored ad ranking system that balances relevance, auction outcomes, and advertiser value across retrieval, ranking, and re-ranking.

Feature StoreModel ServingRecommendation SystemsSmartNews
Push System Logic Under ConstraintsHard

Evaluates system design tradeoffs and fairness-aware modeling for user notifications.

BudgetingSmartNews
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2
Machine Learning7 questions · ~64 min
Handling Missing Data in MLMedium

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

Feature EngineeringData WranglingSupervised LearningSmartNews
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationSmartNews
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3
Coding6 questions · ~55 min
Quicksort ImplementationMedium
Practice

Implement in-place quicksort to sort an integer list in ascending order.

RecursionArraysSortingSmartNews
Coin Change Dynamic ProgrammingMedium

Tests your understanding of DP state design, transitions, and complexity for classic optimization problems.

RecursionDynamic ProgrammingArraysSmartNews
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4
Behavioral & Leadership6 questions · ~55 min
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5
More topics2 questions · ~18 min
Improve Underperforming Model AccuracyMedium

Approach for diagnosing an underperforming model and improving accuracy through error analysis, feature work, tuning, and bias variance tradeoffs.

Cross-ValidationAccuracyThreshold TuningSmartNews
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCSmartNews

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