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Updated weekly · Last refresh Aug 30

Quora Machine Learning Engineer Interview Questions

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

50questions
~7htotal time
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1
Model EvaluationStart here. 8 questions · ~64 min
2
System Design11 questions · ~88 min
Design Two-Tower Candidate RetrievalHard

Design a two-tower candidate retrieval system for a large personalized feed with 600M items and tight latency budgets.

Feature StoreRetrievalTwo-Tower ModelsQuora
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3
Machine Learning10 questions · ~80 min
Feature Engineering for Predictive ModelsMedium

Explain how to choose, transform, and validate features for a predictive model using a structured ML workflow.

Cross-ValidationFeature EngineeringSupervised LearningQuora
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffQuora
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4
Pipelines3 questions · ~24 min
Complex ETL Pipeline ArchitectureHard

Explain the architecture of a complex ETL pipeline built from scratch, including orchestration, data quality, idempotency, and backfill strategy.

InfrastructureETLData ModelingQuora
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5
Coding10 questions · ~80 min
Quora Coding: Array and MatrixMedium

Assesses your ability to solve multiple coding problems across arrays, linked lists, and matrix-style tasks.

Linked ListsArray ManipulationQuora
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6
Statistics & Probability3 questions · ~24 min
Estimate Experiment Sample SizeHard

Assesses your ability to plan experiments with power and detectable effect size considerations.

Power AnalysisSample SizeA/B TestingQuora
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7
More topics5 questions · ~40 min
Text-Based Question RecommenderMedium

Evaluates your modeling approach for text-based retrieval or ranking in Quora's question recommendation.

Language ModelsText ClassificationWord EmbeddingsQuora
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The finish line: interview-readyComplete all 50 questions to finish this plan.