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, Growth Platform Engineering Senior Staff ML Engineer to build and scale a best-in-class agentic growth platform for Airbnb, driving personalized content and product experiences. The role involves developing AI-powered solutions for autonomous content generation, ML/AI orchestration for decisioning, and proactive marketing analyst agents, from inception to production. | Agent | 9 |
| Staff Software Engineer, Marketing technology Staff Software Engineer on the Content Platform team to build an agentic platform for content creation, transforming the platform into an AI-driven system that can turn a marketing brief into a fully realized campaign. | Agent | 7 |
| Senior Staff Software Engineer, Marketing Technology |
| Agent |
| 7 |
| Staff Backend Engineer - Ads Platform Staff Backend Engineer for Airbnb's Ads Platform, focusing on building an AI-powered growth engine for paid marketing channels. The role involves architecting systems for autonomous campaign management, including creative generation, bidding, budget optimization, and audience management. It sits at the intersection of engineering, marketing, and AI, with a goal to increase marketing efficiency and campaign velocity through increasingly autonomous AI systems. | AgentServe | 7 |
| Senior Manager, Technical Program Management (Search & AI Foundations) Senior Manager, Technical Program Management for Airbnb's Infrastructure team, focusing on AI Platforms including Search Relevance, Machine Learning Infrastructure (MLI), and Search Knowledge Infrastructure (SKI). The role involves partnering with engineering and product teams to build and enhance data-driven decision-making, manage AI initiatives, and drive execution across search ranking, recommendations, model infrastructure, and personalization. Experience with ML models, LLMs, and GenAI is required, with a focus on managing complex AI projects and teams. | AgentServe | 7 |
| Operations Engineer, BizTech Operations Engineer role focused on applying AI, specifically LLMs and agentic workflows, to automate and improve BizTech's operational health, including ticket resolution, incident response, and observability. The role involves managing tickets, incident response, building monitoring dashboards, and writing code for automation, with a strong emphasis on AI-driven insights and self-healing systems. | AgentServe | 7 |
| Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence) Senior Machine Learning Engineer focused on Relevance and Personalization at Airbnb, specifically query intelligence. The role involves building and improving ML models for search and recommendation, with a focus on query understanding using NLP and LLMs. Responsibilities include developing models for autocomplete, intent classification, and natural language search experiences, productionizing ML pipelines, and collaborating with cross-functional teams. | AgentPost-train | 7 |
| Lead Analyst, Advanced Analytics Lead Analyst for Advanced Analytics at Airbnb, focusing on Payments Insights. This role involves leveraging AI/ML models, experimentation, and advanced data analytics to drive data-driven decision-making within the Payments domain. The position requires strong analytical, statistical modeling, and causal inference skills, with a focus on translating technical findings into business influence. Experience in financial risk management, fraud prevention, and compliance is also crucial. | Agent | 7 |
| Staff GenAI Backend Engineer, Automation Foundation Staff GenAI Backend Engineer focused on the Automation Foundation team at Airbnb, working on a large-scale conversational AI platform and automating provisioning for internal human and AI agents. The role involves leading technical vision, backend system development, prompt engineering, and RAG patterns for AI/LLM-driven scenarios within consumer support. | Agent | 7 |
| Senior Staff Data Scientist, Guest & Host Marketplace AI Senior Staff Data Scientist to join the Guest Data Science team, focusing on using AI and causal inference to understand user behavior, detect intent, and build data products for a personalized guest experience. The role involves leading innovation, shaping data strategy, and collaborating with Product to optimize in-product experiences and UX design. Responsibilities include analyzing user behavior, developing technical frameworks, building prototypes with AI toolkits, evaluating preferences, and influencing strategy through presentations. Requires expertise in causal inference, marketplace experience, advanced degree, and strong programming skills in Python/R and SQL. | Agent | 7 |