Top 15
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Updated weekly · Last refresh Oct 17

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 daily.

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~3htotal time
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1
System DesignStart here. 4 questions · ~50 min
Design Home FeedsHard

Design Figma's personalized home feed, covering retrieval, ranking, serving, evaluation, and reliability.

ML Rankingfeedback loopFeature DriftFigma
Figma Asset Recommendation SystemHard

Design an end-to-end recommendation system for personalized Figma assets and templates.

ML Rankingsystem designCold StartFigma
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2
Coding7 questions · ~88 min
Implement Undo FunctionalityMedium
Practice

Apply list edits and reverse them in last-in, first-out order using an operation stack.

Codinguser interfaceData StructuresFigma
BERT API Text SummarizationMedium

Tests your ability to implement extractive summarization with transformer-based models.

NLPFigma
Variant of Number of IslandsMedium
Practice

Count connected groups of land cells in a binary grid using four-directional DFS.

dfsProblem SolvingbfsFigma
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3
More topics4 questions · ~50 min
Natural Language to HTMLHard

Build and evaluate a constrained language model that converts UI descriptions into valid, safe HTML.

promptingLanguage Modelssoftware engineeringFigma
Improve an Evaluation MethodHard

Explain how you would assess and improve an existing machine learning evaluation method.

Evaluation Techniquesmodel 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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