Top 15
Prep plan
Updated weekly · Last refresh Oct 17

Zest AI Machine Learning Engineer Interview Questions

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

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1
Machine LearningStart here. 8 questions · ~65 min
Explain Random ForestsEasy

Explain how random forests work, why they reduce variance, and when they are a good choice.

Cross-ValidationEnsemble MethodsDecision TreesZest AI
Build a Predictive Model from DataMedium

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

Cross-ValidationFeature EngineeringSupervised LearningZest AI
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2
Coding3 questions · ~24 min
Analyzing Non-Trivial ComplexityMedium

Tests your ability to reason about performance as code paths and data sizes grow.

RecursionSearchingSortingZest AI
Optimize Large-Scale Data CodeHard

Tests your ability to improve runtime and memory efficiency for large-scale ML/data pipelines.

Hash TablesArraysSortingZest AI
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3
More topics4 questions · ~33 min
Improve Model AccuracyMedium

Approach for improving a model's accuracy by checking errors, features, and tuning choices.

Hyperparameter TuningCross-ValidationAccuracyZest AI
Handling Missing Data in PipelinesMedium

Approach for handling missing data in an ML data pipeline, including validation, imputation, and safe downstream consumption.

InfrastructureETLBatch ProcessingZest AI
Structure a KWH Take-HomeHard

Tests your ability to plan an end-to-end ML/data project with clear methodology and deliverables.

Data WranglingETLQualityZest AI
Model Performance MetricsEasy

Tests your understanding of evaluation metrics and when to use them for ML problems.

PrecisionAccuracyRecallZest AI

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