Interview questions
Amazon AI engineer interview questions (2026)
6 real interview questions reported by engineers who interviewed at Amazon, spanning AI Engineering, ML Engineering, AI Security Engineering, Data Engineering. Every question is scored against a golden answer on the things Amazon actually grades — architecture, token efficiency, security and correctness — not just whether your code runs.
Amazon AI Engineering questions
- Color preference prediction system for sponsored product recommendations.
Design a color propensity model for sponsored products ads at Amazon.
- Semi-supervised learning techniques for scarce labeled data
How would you train a model on a large dataset with few labels?
Amazon ML Engineering questions
- Handling Class Imbalance and Preventing Overfitting in Machine Learning
Given imbalanced training data, how do you prevent overfitting?
- Data Cleaning Strategies for Handling Messy and Incomplete Datasets
How do you clean and prepare troublesome datasets?
Amazon Data Engineering questions
- Product Daily Revenue Rolling 30-Day Percentile Rank Calculation
Write a single SQL query that returns, for each product on each day it had sales, the running 30-day percentile rank of that day's revenue compared to all products. ## Input - `p
Amazon AI Security Engineering questions
- Zero trust security assumes no user or device is trusted by default.
What is zero trust security?
Prepare for your Amazon interview
Velocode turns reported Amazon interview questions into scored practice. Free accounts get the full community problem set and one Amazon-tagged question per domain; Pro unlocks every company-verified question, the interview simulator, and your domain readiness radar.