Amazon Machine Learning Interview Questions
These are the 2 Amazon machine learning interview questions AceOffer has reconstructed from candidate reports, sorted by how often each was reported. Applied Scientist ML Breadth: Bias-Variance, Overfitting and Fundamentals leads at 10×. Every question shows when it was last reported; the catalog refreshes monthly.
Part of the full catalog of Amazon interview questions, covering every round.
Key facts
- •2 distinct machine learning questions indexed
- •13 candidate reports across those questions
- •Most reported: Applied Scientist ML Breadth: Bias-Variance, Overfitting and Fundamentals — 10× (last seen September 2026)
- •Refreshed monthly · last updated October 2026
Which Amazon rounds ask machine learning questions?
The Amazon rounds below are where these questions come up. Counts are distinct questions, not times asked.
Most reported: Applied Scientist ML Breadth: Bias-Variance, Overfitting and Fundamentals — 10×
Which Amazon machine learning questions get asked most?
Sorted by candidate-report frequency. Click any question for the full breakdown.
| Question | Round | Reported | Last seen |
|---|---|---|---|
| Applied Scientist ML Breadth: Bias-Variance, Overfitting and Fundamentals The ML breadth part of Amazon's Applied Scientist interviews: a fast run of short conceptual questions across statistics, classic machine learning and… | MLE | 10× | September 2026 |
| ML System Design: Search Ranking and CTR Prediction An ML system design case for Applied Scientist candidates, in search, ranking and recommendation. Three candidate reports describe it: - Amazon search… | MLE | 3× | September 2026 |
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