Airbnb Machine Learning Engineer Interview Preparation Guide - Junior Level (1-2 Years)

Airbnb's Machine Learning Engineer interview consists of 6 structured rounds spanning 3-5 weeks. The process begins with a recruiter screening call followed by a technical phone screen (HackerRank assessment), and culminates in a virtual onsite loop with 4 consecutive rounds covering ML coding challenges, system design thinking, model debugging, and behavioral/culture fit evaluation. The interviews emphasize hands-on problem-solving with real-world Airbnb challenges like fraud detection, recommendation systems, and dynamic pricing at scale.