Machine Learning Engineer, Agentic AI (Core ML)

About the Community

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. The Core ML team in Community Support is responsible for adopting Agentic AI technologies to enable an intelligent, scalable, and exceptional customer service experience. The team develops Chat AI and Voice AI Assistants, constantly exploring state-of-the-art Agentic architecture, enhancing AI models, and leveraging tools including SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrail for a wide range of applications.

The Difference You Will Make

You will build and leverage cutting-edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use, and proactive customer service experiences. Many initiatives are in their early conceptual stages, providing an opportunity to shape ideas from inception to production.

A Typical Day

• Champion 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.

Your Expertise

• PhD or Master's degree w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience.
• Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks.
• Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar).
• Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices.
• Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations.