Meta AI Research Scientist Interview Questions
The questions to prepare for a Meta AI Research Scientist interview. Questions from real interview reports rank first. Updated weekly.
Explain LLM hallucination and give three practical ways to reduce it using grounding, prompting, and evaluation.
MetaDesign a grounded document Q&A system and explain how vector search improves retrieval quality, latency, and hallucination control in RAG.
MetaDesign a production ranking system with robust feature drift monitoring across batch and real-time features at high QPS.
MetaDesign a two-tower candidate retrieval system for a large personalized feed with 600M items and tight latency budgets.
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Reason about power analysis when planning an experiment and choosing sample size.
MetaExplain how to choose a classifier threshold using precision, recall, calibration, and business tradeoffs.
MetaExplain how to apply word embeddings in a text analytics workflow, from preprocessing to modeling and evaluation.
MetaExplain what statistical significance means and why it matters when interpreting experimental or analytical results.
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