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Machine Learning Engineer, AI Platform

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China
Software Engineering
This position may no longer be active.View all open positions at Airbnb

About the Role

At Airbnb, a Most Loved Workplace® certified employer in the Travel & Hospitality space, Belong Anywhere: Connect Through Travel, Community, and Trust.

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">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.</span></p></div><p><strong>Your Location:</strong></p>

<p><strong>This position is CHINA BASED</strong>. 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.</p>

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<p><strong>The Community You Will Join:</strong></p>

<p>Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. </p>

<p>The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. </p>

<p>The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our produc

Want to learn more about what it's like to work at Airbnb? View our full profile.

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Why This Is a Most Loved Workplace® Certified Job

What It's Like to Work Here

Globe Global Belonging Mindset
Heart Empathy-Driven Problem Solving
Lightbulb Creative Risk-Taking
Users Community-First Mentality
Zap Ownership and Accountability

Frequently Asked Questions About Working at Airbnb

Common questions candidates ask about this role and Airbnb's workplace

Get an Airbnb for every kind of trip → 8 million vacation rentals → 2 million Guest Favorites → 220+ countries and regions worldwide

Please review the specific job listing or contact Airbnb's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Airbnb is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Travel & Flexibility, Health & Wellness, Family & Support, Professional Development, Financial & Equity. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Global Belonging Mindset and Empathy-Driven Problem Solving and Creative Risk-Taking.

The company has committed to inclusive practices including: Mission-Driven Culture and Genuine Flexibility and Trust.

Airbnb has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Airbnb currently has 168 open positions. They are hiring across departments like Sales, Software Engineering, Business Operations/Analysis. You can view all current openings at certcheck.mostlovedworkplace.com/companies/airbnb/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Airbnb's recruiting team for specific details on this role's process.

Apply for Machine Learning Engineer, AI Platform

Submit your application directly to the Airbnb team. Let them know why you'd be a great addition to their loved place to work.

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