Currently tracking 28 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $119k–$387k (avg $238k).
Expedia has 48 active AI-related job listings. The majority of these roles, 67%, are focused on agents, with application roles making up another 19%. The company is primarily hiring for Engineering positions, with Product roles also represented. Expedia is actively recruiting for roles involving agent orchestration, model serving, and RAG. Over the last 30 days, Expedia has added 71 new AI roles, representing a 173% increase compared to the previous 30-day period.
Hospitality · Travel booking
Expedia currently has 31 active AI-related roles in our index. The most common open titles are: Software Development Engineer III (2), Director, Software Development Engineering - Experience Management Platform, Distinguished Software Development Engineer, Enterprise Service Configuration Manager (CMDB), Generative AI Creative Lead. Most positions are in Engineering and Product.
Expedia's active AI hiring is concentrated in: agents (45%), application (35%), serving infrastructure (16%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Expedia is hiring AI talent in: United States (21 roles), United Kingdom (5 roles), Switzerland (1 role), India (1 role).
Job postings at Expedia most frequently reference: model serving, recommender systems, search ranking, inference infra, agent orchestration.
In the past 30 days, Expedia has posted 33 new AI-related roles. That is a -54% change versus the prior 30 days (72 → 33).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Scientist III Machine Learning Scientist III at Expedia Group to develop predictive models for the global advertising marketplace, focusing on click-through rate, booking propensity, and advertiser bidding dynamics. The role involves end-to-end visibility across auction and personalization systems, partnering with product and engineering to design, develop, and productionize scalable ML solutions. | Ship | 7 |