Design systems for global request detection and labeling

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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: Applied Scientist

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

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.

Read the full Amazon Applied Scientist interview experience this question came from

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Amazon
Feb 9, 2026
hardApplied ScientistOnsiteML System Design
9
0
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