Top 35
Prep plan
Updated weekly · Last refresh Aug 30

Google DeepMind AI Engineer Interview Questions

The questions to prepare for a Google DeepMind AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

35questions
~6htotal time
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1
CodingStart here. 8 questions · ~84 min
Depth-First Search ImplementationEasy
Practice

Traverse a graph or tree with DFS and return the visit order from a given start node.

RecursionTreesGraphsGoogle DeepMind
Implement K-Means ClusteringMedium
Practice

Implement K-means from scratch with centroid initialization, iterative assignment/update steps, and convergence checks.

MathArraysGreedyGoogle DeepMind
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2
Model Evaluation3 questions · ~32 min
Choose a Classification ThresholdMedium

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

Confusion MatrixPrecisionThreshold TuningGoogle DeepMind
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3
Generative AI & LLMs4 questions · ~42 min
Reduce Hallucinations in LLM AnswersEasy

Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.

HallucinationPrompt EngineeringRAGGoogle DeepMind
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4
Machine Learning6 questions · ~63 min
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 EngineeringRegularizationGoogle DeepMind
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5
System Design6 questions · ~63 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingGoogle DeepMind
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6
Behavioral & Leadership5 questions · ~53 min
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7
More topics3 questions · ~32 min
Text Classification with TF-IDFMedium

Tests practical NLP modeling approach and feature engineering with TF-IDF.

Text ClassificationFeature EngineeringTF-IDFGoogle DeepMind
Scalable ML Pipeline DesignHard

Tests end-to-end ML pipeline design across data, training, evaluation, and deployment.

Batch ProcessingOrchestrationQualityGoogle DeepMind
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The finish line: interview-readyComplete all 35 questions to finish this plan.