Morgan Stanley AI Engineer Interview Questions

The questions to prepare for a Morgan Stanley AI Engineer interview. Questions from real interview reports rank first. Updated weekly.

Evaluate an LLM System

Medium

Explain how to evaluate a generative model using offline and online methods, with attention to hallucination, product metrics, and experiment design.

HallucinationPrompt EngineeringLLM Evaluation

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Rare Threat Detection Under Imbalance

Medium

Explain how to train and evaluate a rare event classifier when positives are extremely scarce and false negatives are costly.

model trainingSupervised LearningClass Imbalance

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Handle Missing Data and Outliers

Medium

Tests your approach to cleaning and robustly preparing skewed financial data for ML training.

Data QualityFeature EngineeringSupervised Learning

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Async Calls to External AI APIs

Medium

Tests your ability to build efficient async workflows for parallel external AI calls.

network requestsasynchronous workpython

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Secure Real-Time Prediction API

Medium

Tests system design skills for secure, low-latency model serving in production financial workflows.

rest apisSecurityModel Serving

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Class Imbalance With Cost-Sensitive Metrics

Medium

Tests your ability to choose evaluation metrics and thresholds for asymmetric error costs.

ClassificationPrecisionRecall

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