---
title: 'Machine Learning Engineer, AI Platform at Airbnb'
canonical: 'https://feeny.ai/job/machine-learning-engineer-ai-platform-airbnb-china-326r5sjy9dg8'
type: 'job'
last_seen: '2026-09-09'
---

# Machine Learning Engineer, AI Platform at Airbnb

- **Company:** Airbnb
- **Location:** China
- **Posted:** 2026-03-23
- **Last confirmed live:** 2026-09-09
- **Apply:** https://careers.airbnb.com/positions/7716341?gh_jid=7716341

## Job description

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:

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.

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.

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb.

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience.

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day:

- Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems

- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products

- Learn and share the latest AI/ML technologies with the team across regions( China and the US).

Your Expertise:

- PhD/Master’s degree, preferably in CS, or equivalent experience
- 2-4 years of ML engineering experience, with ownership responsibility over large-scale software systems.
- Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
- Fluency in both English and Mandarin is essential.

Our Commitment To Inclusion & Belonging:

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.

## About Airbnb

## Company Overview
- **One-liner**: Airbnb operates a global marketplace for unique stays, experiences, and adventures, connecting hosts with travelers.
- **Entity Type**: Public (NASDAQ: ABNB)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2007
- **Founders**: Brian Chesky, Joe Gebbia, Nathan Blecharczyk

## Core Business
- **Primary industry/industries**: Online Travel & Hospitality, Software Development
- **Target customers**: B2C (travelers), C2C (hosts), with some B2B (Airbnb for Work, business travel)
- **Mission or purpose statement**: To create a world where anyone can belong anywhere, providing unique travel experiences and economic opportunity for hosts.

## Products & Services
- **Airbnb Stays**: The core platform for booking short-term rentals (entire homes, private rooms, shared spaces) in over 220 countries and regions.
- **Airbnb Experiences**: Curated, hands-on activities hosted by locals (e.g., cooking classes, guided hikes, workshops).
- **Airbnb Adventures**: Multi-day, small-group immersive trips led by local experts.
- **Airbnb for Work**: A service for companies to manage business travel and team retreats.
- **Luxe**: A premium tier offering vetted, high-end vacation homes with dedicated trip designers.

## Market Standing
- **Valuation/Market Cap**: ~$77.8B (as of recent data)
- **Key Metric**: Annual Revenue of $12.2B (based on available data)
- **Notable Investors/Partners**: Sequoia Capital, Andreessen Horowitz, Founders Fund, Y Combinator
- **Growth Signals**: 
  - **From 2007 to present**: 1.5 billion guest arrivals globally.
  - **Headcount Growth**: Employs ~21,644 people, a **+30.6% year-over-year increase**.
  - **Global Reach**: Operates in 176 countries with a strong international team (e.g., offices/employees in India, Italy, Canada, Brazil, UK, Australia, China).
  - **Public Company Status**: IPO in 2020, trading on NASDAQ.

## Competitive Advantages
- **Network Effects**: A massive, global two-sided network of 5 million+ hosts and 1.5 billion arrivals creates a formidable moat that is very difficult for competitors to replicate.
- **Brand & Trust**: A globally recognized brand synonymous with alternative accommodations and travel experiences.
- **Liquidity & Inventory**: Unrivaled inventory depth across 220+ countries, offering unique stays not found in traditional hotels.
- **Live and Work Anywhere Policy**: A radical shift in work culture that offers flexibility and a competitive edge in talent acquisition, allowing employees to live anywhere in their country of employment with no compensation change.

## Strategic Focus
- **International & Mainstream Expansion**: Continuing to grow its user base beyond early adopters into mainstream travel and new international markets.
- **Product Diversification**: Pushing hard into "Experiences" and "Adventures" to reduce reliance on accommodations and capture more of the travel wallet.
- **Leveraging AI & Technology**: Investing in AI (e.g., AI Engineer roles in Community Support) to improve the guest and host experience, search, and trust & safety.
- **Return to Travel & "Live Anywhere"**: Capitalizing on the post-pandemic shift towards remote work and long-term stays with its "Live and Work Anywhere" initiative.

## Why Work Here
- **Flexibility**: A ground-breaking **"Live and Work Anywhere"** policy. Employees can work from home, an office, or temporarily anywhere in the world (with approval). Compensation is not changed when moving within their country of employment.
- **Compelling Mission**: An opportunity to work on a platform that creates connection and economic empowerment for millions of people globally.
- **Diversity & Belonging**: Strong commitment to inclusion with numerous Employee Resource Groups (ERGs) such as Able@, Black@, Women@, Parents@, and many more.
- **Great Benefits**: 
  - **Travel Credit**: Quarterly Airbnb travel and experiences credit.
  - **Education**: Annual educational stipend.
  - **Wellbeing**: Subsidized healthcare, mental health support, family care support, and generous parental leave.
  - **Equity**: Competitive compensation including equity and an Employee Stock Purchase Program (ESPP).
- **Culture**: Values-driven with a focus on "Be a Host" (caring, open, encouraging), "Champion the Mission," and "Embrace the Adventure."
- **Work Model**: Supports a mix of remote, hybrid (be close to an office), and onsite work, giving employees significant control over their schedule.
- **Talent Community**: A highly creative and collaborative environment with industry-leading talent.

## Sources
1. [careers.airbnb.com](https://careers.airbnb.com/)
2. [careers.airbnb.com/life-at-airbnb/](https://careers.airbnb.com/life-at-airbnb/)
3. [airbnb.com](https://www.airbnb.com/)
4. [linkedin.com/company/airbnb](https://sg.linkedin.com/company/airbnb)
5. [careers.airbnb.com/positions/](https://careers.airbnb.com/positions/)

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