Design a restaurant recommender under constraints

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Quick Overview

This question evaluates a candidate's competency in designing scalable machine learning recommender systems, covering retrieval and ranking architectures, cold-start strategies, evaluation metrics and hygiene, and latency/freshness engineering.

Design a restaurant recommender under constraints

Company: Meta

Role: Data Scientist

Category: Machine Learning

Difficulty: hard

Interview Round: Onsite

Overview: This question evaluates a candidate's competency in designing scalable machine learning recommender systems, covering retrieval and ranking architectures, cold-start strategies, evaluation metrics and hygiene, and latency/freshness engineering.

Read the full Meta Data Scientist interview experience this question came from

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Oct 13, 2025
hardData ScientistOnsiteMachine Learning
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