About The Position
Airbnb was founded in 2007 and has grown to over 5 million hosts and 2 billion guest arrivals globally, connecting communities through unique stays and experiences. Machine Learning and Artificial Intelligence are central to Airbnb's product, enhancing areas from Trust to Payments, Customer Service, and Marketing to ensure optimal guest and host experiences. The Core ML team in Community Support is dedicated to adopting Agentic AI technologies to create intelligent, scalable, and exceptional customer service. This includes developing Chat AI and Voice AI Assistants. The team continuously explores state-of-the-art Agentic architecture, develops and enhances various AI models and ML services, and utilizes tools like SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for diverse applications. The role aims to leverage cutting-edge AI to transform Airbnb’s customer service into a personalized, easy-to-use, and proactive experience. Many initiatives are in early conceptual stages, offering the opportunity to shape ideas from inception to production.
Requirements
- 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
Responsibilities
- 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
Benefits
- bonus
- equity
- benefits
- Employee Travel Credits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
