Design systems for global request detection and labeling

Quick Overview

This question evaluates the ability to design scalable, low-latency ML systems for global streaming event detection and rapid labeling under extreme class imbalance, assessing competencies in stream ingestion and partitioning, time-windowed aggregations, serving/alerting layers, and end-to-end labeling pipelines.

Design systems for global request detection and labeling

Company: Amazon

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

Quick Answer: This question evaluates the ability to design scalable, low-latency ML systems for global streaming event detection and rapid labeling under extreme class imbalance, assessing competencies in stream ingestion and partitioning, time-windowed aggregations, serving/alerting layers, and end-to-end labeling pipelines.

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Feb 9, 2026, 12:00 AM
hardMachine Learning EngineerOnsiteML System Design
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