Top 12
Prep plan
Updated weekly · Last refresh Aug 30

Deepmind GenAI Engineer Interview Questions

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

12questions
~2htotal time
Track your progressSign up free to work through all 12 questions and resume where you left off.
Start practicing free →
1
System DesignStart here. 4 questions · ~32 min
Design a Low Latency RAG PlatformHard

Design a low latency RAG system over millions of documents, with scalable retrieval, ranking, generation, and production monitoring.

low latencyscalabilityRAG architectureDeepmind
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingDeepmind
Design a Distributed AI Training PlatformHard

Design a distributed AI training platform that supports large-scale data processing, multi-node training, evaluation, and production model rollout.

Feature StoreRetrievalModel ServingDeepmind
More System Design questions with a free account
2
Generative AI & LLMs3 questions · ~24 min
GPU Memory Management for TransformersMedium

Tests your practical strategies for fitting and training large transformers efficiently on limited GPU resources.

Deepmind
Quantization Trade-offs for LLMsMedium

Tests your understanding of quantization impacts on quality, latency, and hardware efficiency for Deepmind-scale LLMs.

Trade-offsllmDeepmind
High-Throughput Inference BottlenecksMedium

Tests your ability to diagnose and improve inference throughput and latency in production LLM systems.

optimizationbottlenecksDeepmind

Sign up to see every question

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

Get my prep plan
3
Behavioral & Leadership3 questions · ~24 min
More Behavioral & Leadership questions with a free account
4
More topics2 questions · ~16 min
Beyond Perplexity EvaluationMedium

Tests your ability to choose robust evaluation methods aligned with real generative quality and reliability.

MetricsModel EvaluationDeepmind
Fine-Tuning Without ForgettingMedium

Tests your knowledge of continual learning and fine-tuning techniques that preserve prior capabilities.

Fine-TuningDeepmind
The finish line: interview-readyComplete all 12 questions to finish this plan.