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Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

24questions
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1
CodingStart here. 6 questions · ~57 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
Basic String List SearchEasy

Tests basic coding ability for common data operations.

Data StructuresAlgorithmsZendesk
Frequent Action SequencesHard
Practice

Count the most frequent contiguous action sequences per user using grouped sliding windows and hash maps.

aggregationfrequency countArraysZendesk
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2
Machine Learning3 questions · ~28 min
Generative AI Project ArchitectureMedium

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

generative aiZendesk
Train, Test, Validation BasicsEasy

Tests core ML evaluation understanding and proper dataset usage.

ClassificationRegressionRecommendation SystemsZendesk
ROC Curves and Transformer TradeoffsHard

Evaluates model evaluation metrics and deep learning performance tradeoffs.

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3
System Design4 questions · ~38 min
System Scale and DesignMedium

Evaluates system design awareness for production-scale ML services.

scalingsystem architectureZendesk
Recommendation Engine for Help ArticlesHard

Tests ML system design for personalization using user behavior signals.

Feature StoreRetrievalRecommendation SystemsZendesk
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4
Behavioral & Leadership11 questions · ~104 min
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