Machine Learning Engineer, Community Support Engineering

3 hours, 38 minutes ago
Full-time
Mid Level
Software Development
Airbnb

Airbnb

Airbnb is the world's largest community-driven hospitality company, offering homes and experiences in 191 countries. It is an online marketplace connecting people to unique accommodations and experiences globally.

Hotels, Restaurants & Leisure
5K-10K
Founded 2008

Description

  • Envision, champion, and support the development of novel machine learning systems, product integrations, and performance optimizations.
  • Work cross-functionally with product, design, and engineering partners to design and build AI solutions for Airbnb customer support products.
  • Develop and enhance AI models, machine learning services, and tools for customer support initiatives.
  • Contribute to LLM fine-tuning and optimization efforts.
  • Build and improve RAG/search capabilities for customer support applications.
  • Support LLM evaluation, testing automation, feedback-based learning, and guardrail development.
  • Turn early-stage ideas into production-ready solutions that improve the customer service experience.
  • Learn about and share the latest AI and ML technologies with teams across China and the US.

Requirements

  • PhD or Master’s degree, preferably in Computer Science, or equivalent experience.
  • 2-4 years of machine learning engineering experience.
  • Ownership experience with large-scale software systems.
  • Background in the design and development of AI and machine learning systems and services.
  • Strong interest in building efficient and scalable ML-powered products.
  • Experience with LLM-driven chatbots and agentic AI products is a strong plus.
  • Excellent communication skills and ability to work effectively across engineering, product, and design teams.
  • Fluency in both English and Mandarin is essential.
  • China-based remote eligibility, with occasional office or offsite work as needed.

Interested in this position?

Apply directly on the company website

Apply Now

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