Google DeepMind AI Research Scientist Interview Questions

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

20questions

~3htotal time

Track your progressSign up free to work through all 20 questions and resume where you left off.

Machine LearningStart here. 8 questions · ~66 min

Explain scaled dot-product and multi-head attention, including masking, positional information, training, and computational tradeoffs.

Deriving BackpropagationMedium

Tests foundational understanding of gradient computation and backprop mechanics.

Google DeepMind

Designing Hypothesis ExperimentsMedium

Tests experimental design skills for validating hypotheses about model behavior.

Google DeepMind

Choosing Research ProblemsMedium

Tests your research prioritization and ability to align work with impact and feasibility.

Google DeepMind

More Machine Learning questions with a free account

Coding3 questions · ~25 min

Tests engineering discipline for reproducibility and reliable research results.

Gradient Checking for Backward PassMedium

Tests debugging skills and correctness verification for custom gradients.

Google DeepMind

Implement PPO RL LoopMedium

Tests your ability to implement and reason about core reinforcement learning training mechanics.

Google DeepMind

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

Behavioral & Leadership9 questions · ~74 min

Balancing Experimentation and Code StandardsMedium

Tests judgment in balancing fast AI experimentation with code quality, maintainability, and accountability.

best practicesExperimentationAI development

Google DeepMind

More Behavioral & Leadership questions with a free account

The finish line: interview-readyComplete all 20 questions to finish this plan.