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Updated weekly · Last refresh Aug 30

Google DeepMind Research Scientist Interview Questions

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

50questions
~7htotal time
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1
CodingStart here. 10 questions · ~82 min
Optimizing Time and Space ComplexityEasy

Explain how to improve coding solutions by reducing time complexity first, then balancing space trade-offs.

Hash TablesArraysGreedyGoogle DeepMind
Gradient Checking for Backward PassMedium

Tests debugging skills and correctness verification for custom gradients.

Google DeepMind
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2
Machine Learning17 questions · ~139 min
MLE vs MAP EstimationMedium

Tests understanding of statistical estimation and the role of priors in MAP.

Google DeepMind
Intuitive PAC LearningMedium

Tests your grasp of learning theory concepts and intuition behind generalization guarantees.

Google DeepMind
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3
Statistics & Probability5 questions · ~41 min
Basic Probability and Stats ConceptsMedium

Tests foundational understanding of statistical relationships.

CorrelationGoogle DeepMind
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4
Behavioral & Leadership14 questions · ~114 min
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5
More topics4 questions · ~33 min
Real-Time Data Ingestion SystemHard

Tests system design skills for scalable, low-latency ingestion pipelines supporting large models.

system designreal-time dataGoogle DeepMind
Transformers for LLMsMedium

Assesses understanding of transformer architectures and how they power LLMs.

transformersGoogle DeepMind
Debugging Underperforming BenchmarksHard

Tests your ability to run structured diagnosis and isolate whether issues are model or data related.

Google DeepMind
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