Google DeepMind Research Analyst Interview Questions

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

35questions

~5htotal time

Track your progressSign up free to work through all 35 questions and resume where you left off.

Statistics & ProbabilityStart here. 19 questions · ~152 min

Assesses understanding of positive definiteness and its implications for linear algebra in ML.

Loss Functions and AssumptionsHard

Tests your knowledge of common loss functions and when their assumptions are appropriate.

loss functionsassumptions

Google DeepMind

Convex Function CharacteristicsMedium

Evaluates your grasp of convexity properties relevant to optimization and analysis in ML research.

Google DeepMind

Core Linear Algebra ConceptsHard

Tests foundational linear algebra and probability concepts plus practical efficiency reasoning.

Google DeepMind

Linear Algebra for MLMedium

Tests understanding of the math foundations behind ML representations and optimization.

RegressionCausal InferenceVariance

Google DeepMind

Jacobian and Operation ComplexityHard

Evaluates your ability to connect calculus concepts like Jacobians with computational complexity reasoning.

Google DeepMind

More Statistics & Probability questions with a free account

Behavioral & Leadership15 questions · ~120 min

Handling Design Feedback From StakeholdersEasy

Tests how you receive design criticism from non-design partners, communicate clearly, and balance stakeholder input with user-centered decisions.

Stakeholder ManagementCommunicationfeedback

Google DeepMind

More Behavioral & Leadership questions with a free account

Create a free account to unlock this list and practice real interview questions.

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