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Updated weekly · Last refresh Aug 30

Figma Machine Learning Engineer Interview Questions

The questions to prepare for a Figma Machine Learning Engineer interview. Questions from real interview reports rank first. Updated weekly.

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1
System DesignStart here. 5 questions · ~41 min
Natural Language to HTMLMedium

Tests your ability to design an ML architecture for structured text generation from prompts.

NLPsystem architectureFigma
Design Home FeedsMedium

Tests system design skills for building a scalable, personalized feed experience at Figma.

designFigma
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2
Coding7 questions · ~57 min
Variant of Number of IslandsMedium

Tests your problem-solving skills with graph or grid traversal algorithms.

Problem SolvingFigma
Implement Batch FunctionalityMedium

Tests your ability to design and implement batch processing behavior correctly.

user interfaceBatch ProcessingFigma
Implement Redo FunctionalityMedium

Tests your ability to implement state transitions that support redo after undo.

user interfacestate managementFigma
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3
More topics4 questions · ~33 min
Natural Language to HTMLMedium

Evaluates your approach to building an NLP model that converts text into structured HTML output.

Figma
Improve an Evaluation MethodMedium

Tests your ability to design better metrics, validation, and offline evaluation for ML systems.

model performanceMetricsFigma
How would you optimize a machine learning model?Medium

How would you optimize a machine learning model?

Hyperparameter TuningCross-ValidationRegularizationFigma
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