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This question evaluates a candidate's proficiency in mutable state management and reversible operations through implementing an undo/redo layer editor with atomic batching, and their ability to reason about connectivity and algorithmic complexity by counting connected land regions in a grid.

  • medium
  • Figma
  • Coding & Algorithms
  • Machine Learning Engineer

Implement Layer History and Grid Counting

Company: Figma

Role: Machine Learning Engineer

Category: Coding & Algorithms

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates a candidate's proficiency in mutable state management and reversible operations through implementing an undo/redo layer editor with atomic batching, and their ability to reason about connectivity and algorithmic complexity by counting connected land regions in a grid.

Last updated: Jul 5, 2026
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