Airbnb
Consumer · Travel marketplace
- HQ
- San Francisco, US
- Founded
- 2008
- Size
- 7,000+
- Funding
- Public (ABNB)
- Website
- airbnb.com
- Blog
- medium.com
Products
Consumer · Travel marketplace
Airbnb currently has 36 active job listings related to Artificial Intelligence. The majority of these roles, 64%, are focused on the agents stage, with application stage roles making up another 22%. The top function for these positions is Engineering, followed by Product. Frequent tech tags include agent_orchestration, llm_observability, and model_serving, suggesting a focus on building and managing AI systems.
Currently tracking 22 active AI roles, with 106 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $117k–$310k (avg $214k).
Airbnb currently has 40 active AI-related roles in our index. The most common open titles are: (Contract) Senior Data Scientist, Platform Inference - MarTech DS Measurement, Lead Analyst, Advanced Analytics, Lead, Advanced Analytics, Hosting Services (Brazil) , Lead, Advanced Analytics, Hosting Services (Mexico), Machine Learning Engineer, Community Support Engineering. Most positions are in Engineering and Product.
Airbnb's active AI hiring is concentrated in: agents (60%), application (28%), evaluation (5%). 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 (29 roles), China (4 roles), Brazil (4 roles), India (3 roles).
Job postings at Airbnb most frequently mention: Machine Learning, System Design, Market & Technology Trend Analysis, Statistics, Large Language Models (LLMs).
In the past 30 days, Airbnb has posted 19 new AI-related roles. That is a +36% change versus the prior 30 days (14 → 19).
| 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 |