Amazon Applied Scientist Interview Questions
The questions to prepare for a Amazon Applied Scientist interview. Questions from real interview reports rank first. Updated weekly.
Train user and item latent factors with SGD, then recommend unseen Amazon items by predicted rating.
AmazonWrite a binary search function to find a target value in a sorted array.
AmazonDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
AmazonChoose an architecture for model inference, comparing online and batch serving for a production ML system.
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Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
AmazonExplain how to preprocess missing data for a supervised learning task without introducing leakage or degrading model quality.
AmazonExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
AmazonEvaluates your ability to diagnose errors and guide next steps using bias-variance concepts.
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