Amazon
E-commerce and cloud computing giant with AWS, the world's leading cloud platform.
5 Rounds
~28 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Machine Learning Engineer
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Behavioral
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medium
Tell me about a time when a machine learning model you deployed degraded in production. How did you detect it, root-cause the issue, and resolve it?
#Deliver Results
#Dive Deep
#MLOps
#Model Monitoring
Machine Learning Engineer
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Behavioral
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medium
Tell me about a time you had to push back on a product manager's request because the proposed ML solution would negatively impact the customer experience.
#Customer Obsession
#Have Backbone; Disagree and Commit
#Stakeholder Management
Machine Learning Engineer
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Behavioral
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medium
Describe a situation where you simplified a complex machine learning pipeline or model architecture without sacrificing significant performance.
#Invent and Simplify
#Model Compression
#Engineering Excellence
Machine Learning Engineer
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Coding
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medium
Given an array of Amazon product prices and a target gift card balance, find all unique combinations of products that sum exactly to the target balance. Each product can be used an unlimited number of times.
#Backtracking
#Array
#Combinatorics
Machine Learning Engineer
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Coding
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medium
Design a data structure for an Amazon shopping cart analytics tool that supports adding a product ID, removing a product ID, and getting a random product ID in O(1) time.
#Hash Map
#Array
#System Design
Machine Learning Engineer
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Coding
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easy
Given the root of a binary tree representing an Amazon product category hierarchy, return the level order traversal of its nodes' values.
#Trees
#BFS
#Queue
Machine Learning Engineer
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Coding
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medium
Given a string of customer review text, find the length of the longest substring without repeating characters.
#Sliding Window
#Hash Set
#Strings
Machine Learning Engineer
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System Design
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hard
Design a real-time product recommendation system for the Amazon homepage that personalizes items based on a user's browsing history from the last 10 minutes.
#Recommender Systems
#Real-time Inference
#Streaming Data
#Collaborative Filtering
Machine Learning Engineer
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System Design
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hard
Design a machine learning system to detect fraudulent reviews on Amazon in real-time. How do you handle cold-start problems for newly created accounts?
#Fraud Detection
#Classification
#Graph Neural Networks
#Cold Start
Machine Learning Engineer
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System Design
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hard
Design the ML architecture for Amazon's autocomplete/typeahead search feature. How do you balance personalization with global popularity while maintaining sub-50ms latency?
#Search Ranking
#NLP
#Tries
#Personalization
Machine Learning Engineer
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System Design
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hard
Design a machine learning system to predict the estimated time of arrival (ETA) for Amazon Prime packages. What features would you use and how would you handle weather anomalies?
#Regression
#Geospatial Data
#Time Series
#Feature Engineering
Machine Learning Engineer
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Technical
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hard
Explain how you would fine-tune a Large Language Model for Amazon's customer service chatbot (Rufus) using LoRA. What are the mathematical and computational trade-offs compared to full fine-tuning?
#LLMs
#PEFT
#LoRA
#NLP
Machine Learning Engineer
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Technical
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medium
You are building a click-through rate (CTR) prediction model for Amazon Sponsored Ads. The baseline click rate is less than 0.5%. What loss function and evaluation metrics would you use, and why?
#CTR Prediction
#Imbalanced Data
#Evaluation Metrics
#Loss Functions
Machine Learning Engineer
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Technical
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medium
Describe how you would set up an automated retraining pipeline for an inventory forecasting model using AWS SageMaker, Step Functions, and EventBridge.
#AWS SageMaker
#CI/CD
#Model Retraining
#Cloud Architecture
Machine Learning Engineer
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Technical
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medium
How does the self-attention mechanism work in Transformer models? Explain the mathematical operations involving Query, Key, and Value matrices.
#Deep Learning
#Transformers
#Attention Mechanism
#Mathematics
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.