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This question evaluates an ML engineer's search system design competency, including information retrieval and ranking principles, feature and model selection for reranking, label and feedback bias handling, serving under latency constraints, and evaluation methodology.

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Company: Box

Role: Machine Learning Engineer

Category: ML System Design

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates an ML engineer's search system design competency, including information retrieval and ranking principles, feature and model selection for reranking, label and feedback bias handling, serving under latency constraints, and evaluation methodology.

|Home/ML System Design/Box
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Box
Jun 5, 2026
hardMachine Learning EngineerOnsiteML System Design
21
0
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