Senior Machine Learning Engineer, Community Support Engineering - Careers

Airbnb

Quick summary

Work type
On-site
Location
China
Posted
1 day ago

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How this pay compares to similar roles

Similar $212k
$169k most similar roles pay here $258k

This listing doesn't post a salary. Most similar roles pay $177,462–$246,150.

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 · Senior Machine Learning Engineer, Community Support Engineering - Careers

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Join the Community Support Products (CSP) Machine Learning team as an experienced ML engineer responsible for driving AI initiatives to enhance Airbnb’s customer service experience. You will develop and refine AI models, including LLM fine-tuning and RAG/Search systems, to provide personalized and proactive support. Your day-to-day involves cross-functional collaboration with product and design teams to build scalable AI solutions, leveraging cutting-edge technologies like large language models for chatbots. Ideal candidates have a PhD or Master’s in CS and 4+ years of ML engineering experience, with expertise in designing efficient AI systems and a passion for innovation. Fluency in both English and Mandarin is essential as you work on initiatives that span China and the US, shaping visionary concepts into impactful customer service solutions.

Skills

Python Java LLM Agentic AI Chatbot CI/CD MLOps RAG Search PostgreSQL Redis Kubernetes Docker AWS GCP Azure Terraform Prometheus Grafana

What you'll do

  • Develop and enhance AI models and ML services for Airbnb's customer support.
  • Design and implement LLM fine-tuning and optimization for CS products.
  • Create RAG/Search, evaluation, and testing automation tools for AI systems.
  • Work on feedback-based learning and guardrail mechanisms for AI applications.
  • Collaborate with cross-functional teams to integrate AI solutions into products.

What we're looking for

  • 4+ years of ML engineering experience with ownership over large-scale systems.
  • PhD or Master’s degree in Computer Science or equivalent practical experience.
  • Experience designing and developing AI/ML systems and services for scalable products.
  • Background in LLM-driven chatbot and agentic AI product development preferred.
  • Strong communication skills and ability to collaborate across multiple teams globally.
  • Fluency in both English and Mandarin required.

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