Manager, Machine Learning, Community Support Products
Lead machine learning efforts for community support products at Airbnb, leveraging expertise in Python and AWS to drive authentic guest experiences.
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
Your Location
This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.
The Community You Will Join:
Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world.
As part of the CS Product vision, we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience.
The Difference You Will Make:
As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors.
What You’ll Do:
Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development. Proactively take initiatives to drive for outcomes over the scope of the team. Build relationships and drive alignment with stakeholders within Community Support and across external teams. Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions. Provides critical guidance and input in prioritization over multiple major projects.
Your Expertise:
Posted June 5, 2026