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Updated weekly · Last refresh Aug 30

Alibaba Group Machine Learning Engineer Interview Questions

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

26questions
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1
System DesignStart here. 4 questions · ~33 min
Design Feature Drift Monitoring SystemHard

Design a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.

Feature StoreFeature DriftModel ServingAlibaba Group
Design a Personalized Product RecommenderHard

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Feature StoreFeature DriftModel ServingAlibaba Group
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2
Machine Learning10 questions · ~83 min
Diagnosing Vanishing and Exploding GradientsMedium

Explain how to detect vanishing or exploding gradients and stabilize deep neural network training.

Neural NetworksDeep LearningoptimizationAlibaba Group
Bias Variance and RegularizationMedium

Explain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.

Bias-Variance TradeoffRegularizationSupervised LearningAlibaba Group
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3
Coding5 questions · ~42 min
2D Convolution ImplementationHard

Tests low-level implementation skills and attention to correctness and performance.

Basic AlgorithmsArrayspythonAlibaba Group
Thread-Safe LRU CacheHard

Tests concurrency-safe data structure design and correctness under multi-threaded access.

Hash TablesLinked ListscachingAlibaba Group
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4
Behavioral & Leadership5 questions · ~42 min
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5
More topics2 questions · ~17 min
Offline to Online ValidationMedium

Tests your ability to connect offline evaluation to online impact and metric alignment.

Evaluation TechniquesClassificationModel MetricsAlibaba Group
Large Language Model ApplicationHard

Evaluates practical LLM application thinking for production-oriented NLP use cases.

Alibaba Group
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