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Updated weekly · Last refresh Oct 17

Facebook AI Engineer Interview Questions

The questions to prepare for a Facebook AI Engineer interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 19 questions · ~161 min
Design a Distributed AI Training PlatformHard

Design a distributed AI training platform that supports large-scale data processing, multi-node training, evaluation, and production model rollout.

Feature StoreRetrievalModel ServingFacebook
Design a Low Latency Inference PlatformHard

Design a low latency ML inference platform for high-frequency online predictions with strict response times and evolving model features.

high-frequency requestslatencysystem architectureFacebook
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2
Pipelines7 questions · ~59 min
Monitor a Production ML PipelineMedium

Design telemetry and monitoring for a production ML pipeline to catch latency, failures, and data quality issues early.

monitoringtelemetryQualityFacebook
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3
Coding9 questions · ~76 min
Optimizing Time and Space ComplexityEasy

Explain how to improve coding solutions by reducing time complexity first, then balancing space trade-offs.

Hash TablesArraysGreedyFacebook
Shortest Path in a MazeHard

Tests your ability to design and implement a shortest-path algorithm on a grid.

AlgorithmsFacebook
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4
Machine Learning3 questions · ~25 min
Impact of Data Drift on PerformanceMedium

Tests understanding of drift mechanisms and how they translate to measurable degradation.

model performancedata driftModel EvaluationFacebook
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5
Behavioral & Leadership9 questions · ~76 min
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6
More topics3 questions · ~25 min
Evaluate Production ReadinessMedium

How to judge whether a model is ready for production using core evaluation metrics and threshold choice.

PrecisionAccuracyRecallFacebook
Low-Level Memory Management PseudocodeHard

Tests understanding of memory management concepts and safe low-level reasoning.

memory managementstack vs heappointersFacebook
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