314,552 interview questions from 6,000+ companies.
Tests how you collaborate across functions, align stakeholders, and communicate clearly to achieve a shared outcome.
How would you optimize a machine learning model?
Tests your ability to design and implement batch processing behavior correctly.
Tests your approach to modeling and system design for multimodal generation in Figma’s design workflow.
Tests your ability to implement span extraction for question answering style NLP tasks.
Tests your ability to design better metrics, validation, and offline evaluation for ML systems.
Tests your ability to implement state transitions that support redo after undo.
Tests your ability to design an ML architecture for structured text generation from prompts.
Tests your core deep learning implementation skills for NLP models and loss design.
Tests your data strategy for building high-quality training data for ML models used in Figma.
Tests your problem-solving skills with graph or grid traversal algorithms.
Tests your ability to implement state management and reversible actions in code.
Tests system design for ML recommendations and how you would build it for Figma’s product experience.
Tests your ability to implement extractive summarization with transformer-based models.
