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 Software Engineer, Host Pricing & Settings Senior Staff Software Engineer focused on building and owning the technical strategy for ML modeling, serving, and API interfaces within the Host Pricing & Settings team at Airbnb. The role involves defining architecture, leading the buildout of a unified serving stack, and architecting backfill and evaluation infrastructure to improve ML development velocity. | ServeEval Gate | 7 |
| Senior Machine Learning Engineer, Trust Senior Machine Learning Engineer on the Trust team responsible for developing and productionizing ML systems to protect Airbnb users from fraud and ensure platform safety. This involves building end-to-end ML pipelines, feature engineering, model training, evaluation, and deployment for both batch and real-time use cases, focusing on challenges like account takeover, fake accounts, payment fraud, and bot detection. |
| ServeData |
| 7 |
| Staff Machine Learning Engineer, Listings and Host Tools Data and AI Staff Machine Learning Engineer at Airbnb to build and productionize ML models and pipelines for Listings and Host Tools, focusing on host personalization and experience. This role involves working with large-scale data, collaborating with cross-functional teams, and developing end-to-end ML infrastructure and serving APIs. | Serve | 7 |
| Staff Software Engineer, GraphQL Staff Software Engineer role focused on the Viaduct GraphQL platform, driving reliability, operational excellence, and developer experience. The role involves designing and implementing deployment pipelines, SLO frameworks, observability tooling, and AI-powered operational tooling for incident triage and debugging. It also emphasizes an AI-first engineering approach using LLM-powered agents for code generation and iteration, and contributing to the open-source Viaduct project. | ServeAgent | 5 |
| Staff Software Engineer, Communication & Connectivity Staff Software Engineer role focused on building and maintaining large-scale, distributed data systems (batch and real-time) that power machine learning models and unlock new product features for Airbnb's Communication & Connectivity organization. The role involves architecting ML infrastructure, optimizing for performance, and collaborating with various engineering teams, including those applying GenAI and LLMs. | ServeData | 5 |