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Updated weekly · Last refresh Aug 30

Samsara AI Engineer Interview Questions

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

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1
Generative AI & LLMsStart here. 3 questions · ~24 min
Evaluate an LLM SystemMedium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM EvaluationSamsara
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2
System Design7 questions · ~56 min
Design an LLM Serving PlatformHard

Design an LLM serving system that balances latency, cost, scalability, and safety for production traffic.

Cold StartFeature StoreModel ServingSamsara
Personalized Fleet RecommendationsMedium

Tests system design skills for building personalized ML services for fleet operations using IoT data.

Samsara
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3
Behavioral & Leadership4 questions · ~32 min
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4
More topics5 questions · ~40 min
Measure AI Model PerformanceEasy

Explain how to evaluate an AI model using the right metrics and how metric choice depends on the business goal.

PrecisionAccuracyRecallSamsara
Optimize ML Models for ProductionMedium

Explain how to optimize a machine learning model using tuning, validation, and regularization, then judge the result in production.

Feature EngineeringDeep LearningSupervised LearningSamsara
Design Real-Time IoT Sensor PipelineHard

Design a real-time IoT telemetry pipeline processing 180K sensor events/sec with <10s latency, replayability, data quality checks, and warehouse delivery.

InfrastructureStream ProcessingDependenciesSamsara
Use Vector Databases with EmbeddingsHard

Explain how embeddings and vector databases fit into a retrieval pipeline for grounded AI responses.

Language ModelsText ClassificationWord EmbeddingsSamsara
Handling Data DriftMedium

Tests monitoring, detection, and mitigation strategies for maintaining model quality over time.

data driftproduction environmentSamsara

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