Machine Learning Engineer, Assistance Engineering
Job description
Machine Learning Engineer role on Airbnb's Community Support Products (CSP) Machine Learning team, driving CSxAI initiatives with Generative AI to enable an intelligent, scalable customer service experience. The position is China based.
At a glance
- Work mode
- Remote · China
- Languages
- English – fluent, Mandarin – fluent
What you'll do
- 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)
What we're looking for
- 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
- 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
Nice to have
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
Your team
Community Support Products (CSP) Machine Learning team
Core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting Generative AI technologies to enable an intelligent, scalable and exceptional service experience; 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.
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About Airbnb
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.
Key facts
- 2007
- San Francisco
- Over 5 million hosts
- Over 2 billion guest arrivals
- Hosts in almost every country across the globe
What they value
- Inclusion & Belonging
- Diverse ideas foster innovation and engagement