Airbnb
Airbnb8d ago

Senior/ Manager, Machine Learning, Community Support Products

ChinaChinasenior
EngineeringData ScienceSenior
1 views0 saves0 applied

Quick Summary

Key Responsibilities

Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development.

Technical Tools
EngineeringData ScienceSenior

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.

 

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. 

 

 

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.

 

Responsibilities

~1 min read

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.

  • Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives.
  • Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.
  • Expertise in ML & AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products.
  • Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences.
  • Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment.
  • Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail.
  • Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally.
  • Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches.
  • Educational Background: PhD, or Master's degree in Computer Science,  Mathematics, Statistics, or related technical field.
  • Industry Experience: 9+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs. 
  • Leadership Experience: 2+ years managing machine learning teams that deliver large impact.
  • Technical Proficiency: Expert knowledge of machine learning algorithms and techniques.
  • Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes.

 

This position is China - Remote Eligible. 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.

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Listing Details

Posted
April 2, 2026
First seen
March 25, 2026
Last seen
April 10, 2026

Posting Health

Days active
15
Repost count
0
Trust Level
40%
Scored at
April 10, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trustcandidate experience
Airbnb
Airbnb
greenhouse

Founded in August of 2008 and based in San Francisco, California, Airbnb is one of the world’s largest marketplaces for unique, authentic places to stay and things to do, offering over 7.

Employees
5k+
Founded
2008
View company profile
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AirbnbSenior/ Manager, Machine Learning, Community Support Products