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Updated weekly · Last refresh Aug 30

Pinterest Machine Learning Engineer Interview Questions

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

50questions
~8htotal time
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1
CodingStart here. 13 questions · ~122 min
Minimum Coins ChangeMedium
Practice

Use bottom-up dynamic programming to find the fewest coins needed to form a Pinterest promotion credit amount.

Dynamic ProgrammingPinterest
Sliding Window Decreasing CheckMedium
Practice

Use a sliding window to verify that every contiguous feed-score window is strictly decreasing.

Sliding WindowAlgorithmsPinterest
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2
Machine Learning19 questions · ~179 min
L1 vs L2 RegularizationMedium
Recently asked

Tests understanding of regularization math and its effect on sparsity and optimization.

Feature EngineeringRegularizationmodel trainingPinterest
Vanishing Gradients and ActivationsMedium
Recently asked

Tests deep learning fundamentals and ability to reason about activation trade-offs.

Neural NetworksDeep LearningGradient DescentPinterest
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3
System Design9 questions · ~85 min
CTR and Conversion Prediction PipelineHard
Recently asked

Tests ML pipeline design for ad prediction with imbalance handling and streaming features.

Feature StoreFeature DriftModel ServingPinterest
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4
Behavioral & Leadership5 questions · ~47 min
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5
More topics4 questions · ~38 min
Self-Attention Scaling and OptimizationHard
Recently asked

Tests understanding of attention complexity and strategies for scaling multimodal embeddings.

Language ModelsNLPMachine LearningPinterest
Metrics From Confusion MatrixMedium

Tests ability to derive metrics and reason about trade-offs using confusion matrix values.

Confusion MatrixMetricsPinterest
Combinatorics ProbabilityHard

Evaluates probability and combinatorics problem-solving skills.

combinatoricsprobabilityPinterest
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