Meta Platforms Research Scientist Interview Questions
The questions to prepare for a Meta Platforms Research Scientist interview. Questions from real interview reports rank first. Updated weekly.
Merge two sorted arrays into one sorted array using a two-pointer linear scan.
Meta PlatformsDetect whether a directed dependency graph of startup tasks contains a cycle using DFS or topological ordering.
Meta PlatformsExplain how feature engineering improves supervised models and how to choose useful transformations.
Meta PlatformsExplain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.
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Design a recommendation and ranking system for a property management platform that personalizes listings and workflow suggestions.
Meta PlatformsDesign a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.
Meta PlatformsTests ability to choose metrics, validation strategy, and interpret results for model quality.
Meta PlatformsTests your statistical reasoning for survey weighting and your ability to justify assumptions.
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