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Updated weekly · Last refresh Sep 17

Samsara Machine Learning Engineer Interview Questions

The questions to prepare for a Samsara Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

38questions
~5htotal time
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1
CodingStart here. 5 questions · ~43 min
Implement K-Nearest NeighborsHard
Practice

Implement exact k-nearest-neighbors classification using a KD-tree, bounded max-heap, and deterministic vote tie-breaking.

MathArraysSortingSamsara
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2
System Design8 questions · ~68 min
Design a Real-Time Prediction PlatformHard

Design a low-latency ML system for real-time predictions with online features, model serving, and monitoring.

Feature StoreFeature DriftModel ServingSamsara
Design an IoT Event Assignment SystemHard

Evaluates end-to-end thinking from ML problem framing to system design under requirements.

system designSamsara
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3
Model Evaluation3 questions · ~26 min
Evaluate Precision and Recall TradeoffsMedium

Assess precision and recall for a model and explain how the threshold changes the tradeoff.

F1 ScorePrecisionRecallSamsara
Monitor Production Model PerformanceHard

Approach for monitoring a model in production and spotting drift, threshold issues, and calibration loss.

PrecisionAccuracyRecallSamsara
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4
Machine Learning8 questions · ~68 min
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised LearningSamsara
Prevent Overfitting in ML ModelsEasy

Explain how to reduce overfitting using regularization, validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationSamsara
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5
Pipelines4 questions · ~34 min
Petabyte-Scale Sensor Data PipelineHard

Tests ability to design scalable ingestion, processing, and storage for massive IoT data pipelines.

data pipelinesensor dataSamsara
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6
Behavioral & Leadership10 questions · ~86 min
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