Staff Machine Learning Engineer, Community Support Engineering - Careers

Airbnb

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$212,000–$260,000 / yr
Posted
3 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k
This role $236k
$176k most similar roles pay here $273k

This role pays more than 55% of similar roles. Most pay $198,000–$259,212 — the shaded band above. At the midpoint, this role pays about $236k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

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 82 open roles on FindRole.

Listed pay typically runs $204,000–$255,000 across 52 roles with salary data.

Most-posted roles

View all roles at Airbnb

At a glance

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

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The Community Support Products (CSP) Machine Learning team at Airbnb seeks an experienced ML engineer to drive CSxAI initiatives by leveraging Generative AI technologies. This role involves developing and enhancing various AI models, including LLM fine-tuning, RAG/Search systems, and feedback-based learning mechanisms for scalable customer support solutions. The ideal candidate will have a PhD or Master’s degree in Computer Science or equivalent experience, with at least 9 years of hands-on ML engineering, particularly in large-scale software systems. Proficiency in designing AI/ML services and a background in LLM-driven chatbots is highly desirable. Daily tasks include staying updated on the latest AI/ML technologies and collaborating across engineering teams to innovate solutions for Airbnb’s complex marketplace challenges.

Skills

Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD PostgreSQL LLM Chatbot Agentic AI RAG Search LLM Evaluation Feedback Systems

What you'll do

  • Develop and enhance AI models for customer support initiatives.
  • Fine-tune large language models to improve service experience quality.
  • Implement retrieval-augmented generation (RAG) and search functionalities.
  • Automate evaluation and testing processes for machine learning systems.
  • Design feedback-based learning mechanisms to continuously improve AI tools.

What we're looking for

  • PhD or Master’s degree in Computer Science or equivalent experience
  • 9+ 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
  • Strong communication skills and ability to collaborate across teams

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