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Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

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1
Machine LearningStart here. 8 questions · ~77 min
Extreme Imbalance in Fraud DetectionMedium

Handle rare positive labels in ad fraud detection with the right sampling, loss design, validation, and thresholding strategy.

Feature Engineeringmodel trainingClass ImbalanceAlibaba Group
Diagnosing Vanishing and Exploding GradientsMedium

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

Neural NetworksDeep LearningoptimizationAlibaba Group
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2
System Design4 questions · ~39 min
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
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
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3
Coding6 questions · ~58 min
First Index in Sorted ArrayMedium
Practice

Use lower-bound binary search to find the first occurrence of a target in a sorted array.

binary searchArraysAlgorithmsAlibaba Group
Longest Palindromic SubstringMedium
Practice

Find the longest contiguous substring that reads the same forward and backward.

coding challengeDynamic ProgrammingStringsAlibaba Group
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4
Behavioral & Leadership5 questions · ~48 min
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5
More topics2 questions · ~19 min
Large Language Model ApplicationHard

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

Alibaba Group
Offline to Online ValidationMedium

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

Evaluation TechniquesClassificationModel MetricsAlibaba Group
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