Machine Learning Engineer, AI Platform

Airbnb

Confirmed live yesterday Low trust

Quick summary

Work type
On-site
Location
China
Posted
101 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $226k
$174k most similar roles pay here $289k

This listing doesn't post a salary. Most similar roles pay $196,312–$254,750.

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 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer, AI Platform

As a Machine Learning Engineer, AI Platform, you will join the Community Support Products Machine Learning team to drive CSxAI initiatives by adopting Generative AI technologies for scalable service experiences. You will be responsible for developing and enhancing various AI models, ML services, and tools including LLM fine-tuning, optimization, RAG/Search, evaluation, testing automation, feedback-based learning, and guardrails. Your daily work involves envisioning, championing, and supporting the development of novel ML systems and performance optimizations while collaborating cross-functionally with product and design teams to build efficient solutions for customer service products. You will utilize your expertise in LLM driven chatbot and Agentic AI products to transform user experiences. The role requires a Master’s or PhD degree, 2-4 years of experience with large-scale software systems, and fluency in both English and Mandarin.

What does a Machine Learning Engineer earn?

Median $236000 from 319 postings across 54 companies.

See salary data

What you'll do

  • Develop and enhance AI models, ML services, and tools including LLM fine-tuning and optimization.
  • Implement RAG, search systems, and automated evaluation and testing for various applications.
  • Build and leverage cutting-edge AI technologies to create personalized and proactive customer service experiences.
  • Transform early-stage conceptual ideas into production-ready AI solutions for the Community Support Products team.
  • Design and build efficient, scalable ML-powered products to solve complex marketplace problems.
  • Develop and integrate novel ML systems and performance optimizations to address real-world issues.
  • Share knowledge of the latest AI/ML technologies with cross-regional teams in China and the US.

What we're looking for

  • Must hold a PhD or Master’s degree in Computer Science or equivalent experience.
  • Requires 2-4 years of machine learning engineering experience with ownership over large-scale software systems.
  • Must have a background in designing and developing AI and ML systems and services.
  • Experience with LLM driven chatbot and Agentic AI products is preferred.
  • Must be fluent in both English and Mandarin.
  • Must possess excellent communication skills to collaborate across engineering, product, and design teams.

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