Airbnb
Consumer · Travel marketplace
- HQ
- San Francisco, US
- Founded
- 2008
- Size
- 7,000+
- Funding
- Public (ABNB)
- Website
- airbnb.com
- Blog
- medium.com
Products
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).
Consumer · Travel marketplace
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 |
| Senior Machine Learning Engineer, Price Modeling Senior Machine Learning Engineer on the pricing guidance team, responsible for developing and refining machine learning models for pricing recommendations, with a focus on reinforcement learning techniques. The role involves collaborating with data scientists and product managers, analyzing model performance, and integrating models into user-friendly tools for hosts. | Post-trainAgent | 7 |
| Data Science Intern Airbnb is seeking a PhD Data Science Intern to join the Core Data Science team for their Summer Intern Program. The intern will work on the Trip Intelligence working group, focusing on improving the Guest satisfaction (GSAT) model by applying AI to various data sources. Key responsibilities include conducting literature reviews on active learning, investigating innovative approaches to labeling training and evaluation datasets, implementing an active learning pipeline, and exploring LLM labeling agents. | Post-trainData | 7 |