Top 23
Prep plan
Updated weekly · Last refresh Aug 30

Zendesk Machine Learning Engineer Interview Questions

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

23questions
~3htotal time
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1
CodingStart here. 5 questions · ~44 min
Detect Cycles in Directed GraphMedium
Practice

Use DFS with recursion-state tracking to detect whether a directed dependency graph contains a cycle.

dfscycle detectionGraphsZendesk
Common Ticket Tags with Set OperatorsMedium

Tests SQL set-logic skills for analyzing customer support data.

sqlZendesk
Optimize Slow SQL AggregationHard

Tests performance engineering skills for large-scale analytics queries.

aggregationsqlperformance analysisZendesk
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2
System Design4 questions · ~35 min
Recommendation Engine for Help ArticlesHard

Tests ML system design for personalization using user behavior signals.

Feature StoreRetrievalRecommendation SystemsZendesk
Latency vs Accuracy in Live ChatHard

Tests tradeoff reasoning for deploying ML models in latency-sensitive customer experiences.

latencyDeep LearningAccuracyZendesk
Real-Time Intent ClassificationHard

Tests ML system design for production classification and handling class imbalance.

Model ServingClass ImbalanceZendesk
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3
Machine Learning3 questions · ~26 min
ROC Curves and Transformer TradeoffsHard

Evaluates model evaluation metrics and deep learning performance tradeoffs.

Zendesk
Generative AI Project ArchitectureMedium

Assesses end-to-end ML/GenAI project thinking and architecture decisions.

generative aiZendesk
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4
Behavioral & Leadership11 questions · ~96 min
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The finish line: interview-readyComplete all 23 questions to finish this plan.