We Are Meta Machine Learning Engineer Interview Questions

The questions to prepare for a We Are Meta Machine Learning Engineer interview. Questions from real interview reports rank first. Updated daily.

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System DesignStart here. 5 questions · ~40 min

Design an end-to-end product recommendation system for a large e-commerce marketplace with strict latency and freshness needs.

Distributed Training for BillionsHard

Assesses your system design skills for training very large models at scale.

distributed training

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A/B Testing a Ranking AlgorithmMedium

Assesses your experimentation design and safeguards for user impact in ranking systems.

user experienceA/B Testing

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Training-Serving Feature ConsistencyMedium

Tests your ability to prevent training-serving skew and ensure dependable feature delivery.

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Machine Learning5 questions · ~40 min

Tests your ability to monitor model inputs and respond to drift to protect performance.

Optimization and ConvergenceMedium

Tests your understanding of optimization dynamics and their impact on convergence.

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Handling Class ImbalanceMedium

Tests your ability to choose and apply imbalance strategies for large-scale classification.

ClassificationClass Imbalance

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Transformer for RecommendationsHard

Evaluates your ability to design transformer models for recommendation use cases.

architecture

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