Consumer · Travel marketplace
Currently tracking 27 active AI roles, up 27% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $117k–$310k (avg $225k).
| Title | Stage | AI score |
|---|---|---|
| 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. |
| 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 |