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Updated weekly · Last refresh Aug 30

Deepmind Research Engineer Interview Questions

The questions to prepare for a Deepmind Research Engineer interview. Questions from real interview reports rank first. Updated weekly.

50questions
~7htotal time
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1
CodingStart here. 17 questions · ~145 min
Dijkstra Shortest Path ImplementationMedium
Practice

Use Dijkstra's algorithm to find and reconstruct the shortest path between two nodes in a weighted directed graph.

SearchingGraphsHeapDeepmind
Explaining a Live Coding SolutionEasy

Explain how to present an array/hash-table coding solution clearly in a live interview, from clarification to testing.

Hash TablesArraysSortingDeepmind
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2
Machine Learning17 questions · ~145 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffDeepmind
Classification vs Regression ExplainedEasy

Explain how classification and regression differ, using target type, model outputs, and evaluation metrics.

Feature EngineeringRegressionSupervised LearningDeepmind
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3
System Design5 questions · ~43 min
Robotics Components and SafetyHard

Tests breadth of robotics knowledge and ability to connect perception, control, learning, and safety.

Cold StartFeature StoreModel ServingDeepmind
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4
Statistics & Probability5 questions · ~43 min
Linear Algebra, Probability, and CS FundamentalsMedium

Evaluates breadth of core CS and quantitative foundations for ML research.

linear algebraDeepmind
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5
Behavioral & Leadership4 questions · ~34 min
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6
More topics2 questions · ~17 min
Design Real-Time ProcessingHard

Tests your ability to design for latency, reliability, and correctness in streaming systems.

InfrastructureStream ProcessingOrchestrationDeepmind
Handling ML Prediction FailuresMedium

Tests debugging, evaluation, and mitigation strategies for model errors in production-like settings.

PrecisionAccuracyRecallDeepmind
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