Airbnb Senior Machine Learning Engineer Interview Preparation Guide (2025)

Airbnb's ML Engineer interview process consists of 6 rounds designed to evaluate technical expertise, ML system design capabilities, production-readiness, and cultural fit. The process begins with a recruiter screening to assess background and motivation, followed by a technical phone screen focusing on ML coding and data manipulation. Candidates then participate in a virtual on-site loop with 4 rounds: data manipulation coding, end-to-end ML system design, model debugging and troubleshooting, and a core values behavioral interview. For Senior-level candidates, emphasis is placed on architectural thinking, production systems experience, ability to work at petabyte scale (1.25B+ searches per month, 150M+ users), and influence on technical direction.