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Updated weekly · Last refresh Oct 17

Deepmind Research Engineer Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 15 questions · ~127 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 Learning19 questions · ~161 min
Classification vs Regression ExplainedEasy

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

Feature EngineeringRegressionSupervised LearningDeepmind
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
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3
System Design5 questions · ~42 min
Safe Teleoperation for Mobile ManipulatorsHard

Tests system design for safe real-time control under latency constraints in robotics.

teleoperationsystem designDeepmind
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4
Behavioral & Leadership7 questions · ~59 min
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5
More topics4 questions · ~34 min
Core Linear Algebra and SVDMedium

Evaluates mastery of key linear algebra concepts used in ML and research.

linear algebraDeepmind
Handling ML Prediction FailuresMedium

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

PrecisionAccuracyRecallDeepmind
Design Real-Time ProcessingHard

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

InfrastructureStream ProcessingOrchestrationDeepmind
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