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 Staff Machine Learning Engineer, Post Training Senior Staff Machine Learning Engineer focused on post-training LLM optimization and productionization for customer support AI initiatives at Airbnb. The role involves fine-tuning, alignment, RAG/Search, evaluation, and feedback loops to enhance customer experience through AI. | Post-trainServe | 9 |
| Principal Machine Learning Engineer- LLM Fine-tuning and Optimization Principal Machine Learning Engineer focused on fine-tuning and optimizing LLMs for Airbnb's consumer-facing products, including AI Assistants and autonomous agents. The role involves working with large datasets, developing multi-year tech roadmaps, evaluating foundational models, and productionizing LLM pipelines. Requires extensive experience in model training, fine-tuning, optimization, and post-training techniques, with a strong preference for PhDs and publication records in AI conferences. |
| Post-trainServe |
| 8 |