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Updated weekly · Last refresh Oct 17

Google Machine Learning Engineer Interview Questions

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

50questions
~10htotal time
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1
CodingStart here. 11 questions · ~129 min
Earliest Full ConnectivityHard
Practice

Use sorting and union-find to find the earliest timestamp when all logged people become transitively connected.

ArraysData StructuresAlgorithmsGoogle
Minimum Teleport CostHard
Practice

Find the minimum number of broken teleporters to repair using 0-1 BFS on a directed graph.

bfsData StructuresAlgorithmsGoogle
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2
System Design11 questions · ~129 min
Google Reviews Like SystemHard

Design a Google Reviews NLP system covering BERT, LLM trade-offs, clustering, and review summarization.

inference latencyml inferencecomputational costGoogle
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3
Model Evaluation7 questions · ~82 min
Fix Recall ComputationHard
Recently asked

Correct a recall calculation that is evaluating the wrong class by aligning labels, predictions, and the intended positive class.

ClassificationConfusion MatrixRecallGoogle
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4
Machine Learning10 questions · ~117 min
Deep Dive on ML Resume WorkHard
Recently asked

Explain, implement, and evaluate an ML project from your resume, including model choice, features, validation, and production tradeoffs.

model selectionFeature EngineeringresumeGoogle
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5
Pipelines6 questions · ~70 min
Production ML Deployment PipelineMedium
Recently asked

Key production pipeline considerations for deploying, validating, and monitoring an ML model.

InfrastructureIdempotencyQualityGoogle
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6
Behavioral & Leadership3 questions · ~35 min
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7
More topics2 questions · ~23 min
Explain Self-Attention MathematicallyMedium
Recently asked

Explain the self-attention formula, its tensor shapes, and how it is used inside a transformer encoder.

Neural NetworksLanguage ModelsTokenizationGoogle
Bayesian Inference and Probabilistic ModelsHard
Recently asked

Evaluates depth of knowledge in probabilistic modeling and inference.

DistributionsBayesian ReasoningConditional ProbabilityGoogle
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