Currently tracking 24 active AI roles, up 31% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $117k–$310k (avg $226k).
Airbnb currently has 38 active AI-related job listings. The majority of these roles, 61%, are focused on agents. The top hiring function is Engineering, with 33 positions. Frequent tech tags include agent_orchestration, llm_observability, and rag, suggesting a focus on building and managing AI agent systems. Over the last 30 days, Airbnb has posted 11 new AI roles, representing a 38% increase compared to the prior 30-day period.
Airbnb currently has 42 active AI-related roles in our index. The most common open titles are: (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement, AI Engineer, Community Support Engineering, Android Software Engineer, Quality Platform, Engineering Manager, Core Entities & Trip Intelligence, Engineering Manager, Quality Platform. Most positions are in Engineering and Product.
Airbnb's active AI hiring is concentrated in: agents (62%), application (12%), data (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Airbnb is hiring AI talent in: United States (25 roles), India (6 roles), Brazil (6 roles), China (5 roles).
Job postings at Airbnb most frequently reference: agent orchestration, llm observability, model serving, evals, fine tuning.
In the past 30 days, Airbnb has posted 16 new AI-related roles. That is a +78% change versus the prior 30 days (9 → 16).
| Title | Stage | AI score |
|---|---|---|
| Senior Machine Learning Engineer, Community Support Engineering The role focuses on leveraging Generative AI and LLMs to transform Airbnb's customer service. This involves building and enhancing AI models, ML services, and tools including LLM fine-tuning, RAG/Search, evaluation, feedback learning, and guardrails. The position emphasizes developing personalized, easy-to-use, and proactive customer service experiences, with many initiatives in early conceptual stages. | AgentPost-train | 8 |
| Machine Learning Engineer, Community Support Engineering The Machine Learning Engineer, Community Support Engineering role at Airbnb focuses on leveraging Generative AI technologies to enhance customer service. The team develops and optimizes AI models, ML services, and tools including LLM fine-tuning, RAG/Search, evaluation, and guardrails. The role involves building and deploying AI solutions for customer service, with opportunities to shape ideas from inception to production. Experience with LLM-driven chatbots and Agentic AI products is a plus. |
| AgentPost-train |
| 8 |
| Senior/Staff Machine Learning Engineer, Community Support Engineering The role focuses on driving Customer Support x Artificial Intelligence (CSxAI) initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. This involves developing and enhancing AI models, ML services, and tools including LLM fine-tuning, optimization, RAG/Search, LLM evaluation, testing automation, feedback-based learning, and guardrails for various applications within Airbnb. The role also involves building and leveraging cutting-edge AI technologies to transform customer service and shape ideas from inception to production. | AgentPost-train | 8 |
| Senior/ Manager, Machine Learning, Community Support Products Lead a team of ML engineers to research, design, and optimize AI models and services for customer support products, focusing on improving the end-to-end experience for guests and hosts. This role involves managing ML teams, developing large-scale ML models, and shipping AI-powered products. | Ship | 8 |
| AI Engineer, Community Support Engineering AI Engineer to build and enhance a next-generation RAG platform and AI-powered support surfaces for customer service, focusing on scalability, availability, and integration with various teams. | Agent | 7 |