Top 45
Prep plan
Updated weekly · Last refresh Oct 17

Nextdoor Machine Learning Engineer Interview Questions

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

45questions
~7htotal time
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1
CodingStart here. 9 questions · ~89 min
Build Tree From Comment HistoryMedium
Practice

Build a forest from parent-child comment pairs using node mapping and depth-first traversal.

dfsData StructuresAlgorithmsNextdoor
KNN for Nearby Service RecommendationsMedium
Practice

Implement KNN from scratch to return the nearest local services using Euclidean coordinate distance.

MathArraysData StructuresNextdoor
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2
System Design9 questions · ~89 min
Design a Travel Recommendation PipelineHard

Design an end-to-end travel recommendation system with retrieval, ranking, feature pipelines, and online feedback loops.

Feature StoreRetrievalRecommendation SystemsNextdoor
Fraud Detection System DesignHard

Evaluates your ability to design an end-to-end fraud detection system with data, modeling, and operational considerations.

system designfraud detectionNextdoor
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3
Machine Learning4 questions · ~40 min
Precision-Recall and BaggingMedium

Assesses your understanding of evaluation metrics and ensemble methods in machine learning.

Nextdoor
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4
Behavioral & Leadership20 questions · ~198 min
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5
More topics3 questions · ~30 min
Preprocess Data for TrainingMedium

Build a repeatable preprocessing pipeline that cleans, validates, transforms, and versions training data.

ETLData ModelingQualityNextdoor
NLP Topic Classification for PostsMedium

Tests NLP pipeline design for multi-topic classification of real user-generated neighborhood content.

Text ClassificationNLPTokenizationNextdoor
Production Model MaintenanceMedium

Evaluates your MLOps practices for monitoring, retraining, and managing model drift and quality.

productionNextdoor

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