Machine Learning Engineer, Offline Risk

Airbnb's Trust Engineering team is seeking a Machine Learning Engineer to join their Offline Risk team, focusing on creating the safest travel platform possible. This role combines sophisticated engineering with machine learning to protect the Airbnb community from physical world risks. As part of the team, you'll work on critical safety initiatives including real-time risk detection, reservation reviews, and user security features.

The position offers an opportunity to work with diverse tech stacks and cross-functional teams, building scalable solutions that directly impact user safety. You'll be responsible for developing ML models, creating fraud detection systems, and implementing safety features that protect millions of users worldwide. The role requires expertise in Java/Scala and machine learning, with a focus on building high-availability systems.

Working at Airbnb means joining a company that has facilitated over 1 billion guest arrivals globally. The Trust Engineering team plays a crucial role in maintaining the platform's integrity and safety. This position offers competitive compensation, equity, and unique benefits like Employee Travel Credits. The remote work option provides flexibility while maintaining connection through occasional office visits and offsites.

This is an ideal role for engineers passionate about applying machine learning to real-world safety challenges, who thrive in collaborative environments, and want to make a meaningful impact on global travel safety. You'll be at the forefront of developing innovative solutions to complex safety challenges while working with state-of-the-art technology and talented cross-functional teams.