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Prep plan
Updated weekly · Last refresh Oct 17

Zillow Machine Learning Engineer Interview Questions

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

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1
System DesignStart here. 6 questions · ~63 min
Adjust Feature Weights at ZillowMedium

Design how to tune feature weights in a production ranking model, with safe offline and online validation.

ML RankingFeature StoreFeature DriftZillow
Design a Resident Recommendations SystemMedium

Design a recommendation and ranking system for a property management platform that personalizes listings and workflow suggestions.

Feature StoreRetrievalModel ServingZillow
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 ServingZillow
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2
Coding4 questions · ~42 min
Efficient Feature TransformationMedium
Practice

Standardize selected numeric dataset features with z-score normalization in two efficient passes.

ArraysArray ManipulationAlgorithmsZillow
Valid Parentheses CodingEasy
Practice

Check whether a string of brackets is valid using a stack in linear time.

leetcodeArraysZillow
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3
Machine Learning4 questions · ~42 min
Regression Loss Function Trade-offsMedium

Compare regression loss functions and explain when to use MSE, MAE, Huber, or quantile loss.

model selectionloss functionsTrade-offsZillow
Handling Imbalanced DataHard

Design a production ML approach for imbalanced classification at Zillow, with robust training, thresholding, and evaluation.

Cross-Validationdata handlingModel EvaluationZillow
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4
Behavioral & Leadership5 questions · ~53 min
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5
More topics1 question · ~11 min
Beyond Accuracy EvaluationMedium

Tests your ability to select metrics and validation strategies aligned to real outcomes.

performance evaluationAccuracyModel MetricsZillow
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