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Updated weekly · Last refresh Sep 22
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Coursera Machine Learning Engineer Interview Questions

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

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1
System DesignStart here. 3 questions · ~24 min
Design Cold Start for RecommendationsHard

Design a recommendation system strategy for model cold start and new-user cold start, including serving, evaluation, and safe rollout.

Cold StartRetrievalTwo-Tower ModelsCCoursera
Course Recommendation System DesignMedium

Evaluates system design for a large-scale personalized course recommendation platform.

scalabilityuser engagementRecommendation SystemsCCoursera
Deploy and Monitor Models at CourseraMedium

Evaluates how you plan deployment and monitoring for ML models in a Coursera-scale platform.

InfrastructuremonitoringCCoursera
2
Statistics & Probability3 questions · ~24 min
Statistical Significance in ProductionMedium

Assesses understanding of applying statistical testing in live ML systems.

Hypothesis TestingStatistical Significanceproduction environmentCCoursera
Statistical Significance of Model ChangesMedium

Evaluates approach to validating model updates with statistics.

Hypothesis TestingStatistical SignificanceModel EvaluationCCoursera
A/B Testing Pitfalls in RecsMedium

Tests awareness of common traps in evaluating recommender systems with A/B tests.

experimental designA/B TestingCCoursera

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