Machine Learning Engineer, Community Support Engineering - Careers

Airbnb

Quick summary

Work type
On-site
Location
China
Posted
1 day ago

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Salary context

How this pay compares to similar roles

Similar $211k
$174k most similar roles pay here $255k

This listing doesn't post a salary. Most similar roles pay $183,543–$238,500.

Based on 240 similar postings.

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About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 75 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 45 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, Community Support Engineering - Careers

Join the Community Support Products (CSP) Machine Learning team as an ML Engineer at Airbnb, where you will drive CSxAI initiatives by leveraging Generative AI technologies to enhance customer service experiences. Your role involves developing and refining AI models, including LLM fine-tuning, RAG/Search systems, and feedback-based learning mechanisms. You will work closely with product, design, and engineering teams to integrate these cutting-edge solutions into Airbnb’s customer support products, ensuring they are efficient and scalable. Key responsibilities include envisioning novel ML systems, optimizing performance, and sharing knowledge about the latest AI/ML technologies across regions. Ideal candidates have 2-4 years of experience in large-scale software systems, a background in designing AI and ML services, and familiarity with LLM-driven chatbots and agentic AI products. Fluency in both English and Mandarin is essential for this China-based position.

What you'll do

  • Develop and enhance AI models and ML services for Airbnb's customer support.
  • Design and build efficient AI solutions for CS products by working cross-functionally.
  • Fine-tune and optimize large language model (LLM) systems for chatbot applications.
  • Implement retrieval-augmented generation (RAG) and search functionalities in projects.
  • Champion the development of novel ML systems to solve real-world customer issues.

What we're looking for

  • PhD or Master’s degree in Computer Science or equivalent experience.
  • 2-4 years of ML engineering experience with ownership over large-scale systems.
  • Design and development background in AI/ML systems and services.
  • Experience with LLM-driven chatbots and agentic AI products preferred.
  • Strong communication skills for cross-functional team collaboration.
  • Fluency in both English and Mandarin required.

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