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 20 new AI-related roles. That is a +54% change versus the prior 30 days (13 → 20).
| 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 |
| Senior iOS Engineer, Global Markets Senior iOS Engineer focused on building and adapting Airbnb's guest and host experience for global markets, with a strong emphasis on locale-aware UI, market-specific features, and performance optimization. The role involves full-stack product development, technical leadership, mentoring, and collaboration with cross-functional teams. | — | 0 |
| Staff Software Engineer, Global Markets (Backend) Staff Software Engineer (Backend) to lead the technical strategy and drive innovative initiatives for Airbnb’s international guest experiences. This role will set a technical vision and drive execution of solutions that are highly available, secure, efficient, and designed to scale across many markets with the needs of the international business. The engineer will work across product, engineering, data scientists, designer and cross-functional partners to solve technical challenges and deliver high-quality products for Airbnb. | — | 0 |
| Engineering Manager, Community Support Engineering (Routing and Data Services) Engineering Manager for Airbnb's China Routing and Data Service team, focusing on building routing systems and data services to support community support operations. The role involves leading and mentoring a team, driving technical strategy, and collaborating with cross-functional partners to deliver scalable solutions. | — | 0 |
| Software Engineer, Guest & Host - Notifications Backend engineer for Airbnb's global notification systems, focusing on building reliable and scalable solutions to enhance user engagement and drive business outcomes. Requires proficiency in JVM languages and experience with distributed systems. | — | 0 |
| Staff Software Engineer, Community Support Engineering Staff Software Engineer for Airbnb's Community Support Engineering team in China. This role focuses on leading project execution, technical design, implementation, testing, and deployment of world-class technology, architecture, and solutions that power Community Support at Airbnb. Responsibilities include collaborating with cross-functional partners, driving technical discussions, tackling complex challenges, writing high-quality code, and mentoring engineers. Requires 9+ years of software development experience, proficiency in backend languages, and experience with large-scale web applications. | — | 0 |