Figma Machine Learning Engineering Fulltime Onsite Interview Experience

This post was last edited by an anonymous forum user on 2025-09-27 20:06. Five rounds: one coding round, one ML system design round, one ML model design round, and one behavioral questions (BQ) round.

This post was last edited by an anonymous forum user on 2025-09-27 20:06. Five rounds: one coding round, one ML system design round, one ML model design round, and one behavioral questions (BQ) round. The following content requires a score higher than 188. You can already view it. Coding: Completely forgettable. ML system design: Recommendations for Figma assets/templates. Similar to Facebook's newsfeed resys, this is sufficient. ML model design: Suppose Figma needs to create a prompt-to-design VLM. To simplify the question, assume the design only requires a conceptual diagram. It covers all aspects of model end-to-end, especially how to crawl and label data, and how to perform data augmentation. BQ: Asked many questions about cross-functional collaboration. Project deepdive: Just a regular project deepdive. It's best to talk about something related to computer vision (CV), otherwise the interviewer might not understand the concepts and could misunderstand the scope. Finally, I was challenged due to insufficient years of experience, possibly at the org level 0-1, indicating insufficient experience.