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Updated weekly · Last refresh Aug 30

Google AI Engineer Interview Questions

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

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1
CodingStart here. 7 questions · ~66 min
Two Sum ProblemEasy
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Recently asked

Find two indices in an array whose values add up to a target using a hash map.

Hash TablesArraysTwo PointersGoogle
Two Sum with TargetEasy
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Recently asked

Use a hash map to find two array elements that sum to a target in O(n) time.

Hash TablesArraysStringsGoogle
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2
Model Evaluation7 questions · ~66 min
Monitor Production Model DriftMedium
Recently asked

Design a drift monitoring plan for a conversion model whose AUC fell from 0.84 to 0.76 and calibration worsened in production.

CalibrationAccuracyThreshold TuningGoogle
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3
NLP7 questions · ~66 min
Explain Attention in Support Ticket TransformersMedium
Recently asked

Explain and implement self-attention in a Transformer classifier for SaaS support tickets, including preprocessing, fine-tuning, and attention analysis.

Language ModelsWord EmbeddingsTokenizationGoogle
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4
Machine Learning7 questions · ~66 min
Vanishing Gradients in Deep NetworksMedium
Recently asked

Explain vanishing gradients in deep networks and how residual connections, batch normalization, and activation choice improve training.

Neural NetworksDeep LearningGradient DescentGoogle
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5
Pipelines7 questions · ~66 min
Design Scalable Pipeline InfrastructureHard
Recently asked

Design the core pipeline infrastructure for a new project, with attention to orchestration, data quality, idempotency, and future scale.

InfrastructureToolsQualityGoogle
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6
System Design7 questions · ~66 min
Design an LLM Serving PlatformHard
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Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingGoogle
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7
More topics8 questions · ~75 min
Design a Multi-Agent Research AssistantMedium
Recently asked

Design a grounded multi-agent assistant that plans, retrieves, and synthesizes answers under strict latency, cost, and hallucination limits.

Prompt EngineeringRAGLLM AgentsGoogle
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