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Prep plan
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Meta Platforms AI Research Scientist Interview Questions

The questions to prepare for a Meta Platforms AI Research Scientist interview. Questions from real interview reports rank first. Updated weekly.

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Deep Learning Framework Experience
Medium

Discuss practical experience with deep learning frameworks, including model development, training workflows, and framework tradeoffs.

Feature EngineeringDeep LearningSupervised Learning
Meta Platforms
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Implementing a Classification Algorithm
Medium

Tests coding fundamentals and ability to implement ML-related algorithms correctly.

Hash TablesArraysSorting
Meta Platforms
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Architecture of a Model You Built
Medium

Tests depth of ML architecture understanding and ability to explain design decisions clearly.

Feature StoreModel ServingTwo-Tower Models
Meta Platforms
Production Deployment Considerations
Medium

Tests knowledge of deployment, monitoring, reliability, and operational risk management for AI systems.

Cold StartFeature DriftModel Serving
Meta Platforms
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Evaluate Precision and Recall Tradeoffs
Medium

Assess precision and recall for a model and explain how the threshold changes the tradeoff.

F1 ScorePrecisionRecall
Meta Platforms
AI Alignment Importance
Medium

Tests understanding of AI alignment and its relevance to building safe, reliable AI systems at Meta Platforms.

HallucinationPrompt EngineeringRAG
Meta Platforms

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