Expedia
Hospitality · Travel booking
- HQ
- Seattle, US
- Founded
- 1996
- Website
- expediagroup.com
Currently tracking 28 active AI roles, down 48% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $119k–$387k (avg $238k).
Hospitality · Travel booking
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.
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 |
|---|---|---|
| Senior Machine Learning Engineer (Gen AI & Multi-Agentic Systems) Senior Machine Learning Engineer at Expedia Group focused on building end-to-end GenAI and multi-agent systems for consumer travel applications. The role involves architecting, developing, and deploying production-ready multimodal LLMs, RAG pipelines, agentic ecosystems, and integrating them with user interfaces and observability features. Responsibilities include LLM training/adaptation, memory architectures, distributed training/inference, and influencing product roadmaps. | AgentPost-train | 9 |
| Machine Learning Engineer III (Gen AI & Multi-Agentic Systems) Machine Learning Engineer III at Expedia Group focused on building end-to-end GenAI products, including agent orchestration, inference platforms, and user-facing interfaces. The role involves LLM training, fine-tuning, RAG pipelines, agentic workflows, and implementing evaluation and safety frameworks, with a focus on scaling these systems for consumer travel applications. |
| AgentPost-train |
| 9 |
| Principal Software Development Engineer - Gen AI Expedia is hiring a Principal GenAI Engineer to build production-grade AI systems for accelerating business workflows. The role involves designing and implementing cloud-native GenAI architectures, creating shared capabilities like model routing and retrieval services, optimizing for production performance and resilience, implementing guardrails and trust mechanisms, building RAG pipelines, designing agentic workflows, implementing tool registries for agents, collaborating with ML engineers, defining evaluation strategies, and ensuring governance, security, and responsible AI practices. The role requires a strong background in distributed systems and platform architecture, with at least 3 years of experience in AI/ML or building production LLM systems. | AgentServe | 8 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Expedia Group to build and operate ML systems for the TravelAds platform, focusing on high-throughput, low-latency inference, ML lifecycle automation, and agentic AI workflows. The role involves designing and owning ML systems, building ML infrastructure, accelerating the ML lifecycle, developing LLM/RAG-powered workflows, and implementing ML observability and guardrails. | ServeAgent | 8 |
| Machine Learning Scientist II Expedia Group is seeking a Machine Learning Scientist II to join their EG Organic and Agentic Search team. This role will focus on designing and building ML solutions and GenAI products to dynamically provide information to travelers, driving organic traffic and conversion. Responsibilities include building and evaluating ML models, data extraction and processing, context engineering, designing experiments, building GenAI solutions for traffic acquisition and traveler progression, and communicating technical concepts. The role requires a Bachelor's or Master's degree in a quantitative field, 2+ years of ML experience, proficiency in Python/Pyspark and SQL, experience with production ML projects, and knowledge of statistical techniques for A/B testing and experimental design. Experience with cloud computing, MLOps, and ML techniques like Neural Networks and XGBoost is also required. | AgentPost-train | 7 |
| Data Engineer III, RAG and Gen AI Data Engineer III role focused on building and operating data pipelines and embeddings workflows for Agentic AI applications, including RAG systems and vector databases, within a consumer travel tech company. | AgentData | 7 |
| Machine Learning Engineer III Machine Learning Engineer III at Expedia Group, focused on improving existing marketing bidding systems using ML. Responsibilities include developing and refactoring ML components, designing big data and ML applications for training, evaluation, and serving, and operating ML models in production. The role involves monitoring, diagnosing issues like data/model drift, implementing guardrails, and optimizing for efficiency and observability. Requires 5+ years of experience in end-to-end ML pipelines, proficiency in Spark and ML libraries (PyTorch/TensorFlow), and MLOps practices. | ServeEval Gate | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at Expedia Group focused on building and productionizing ML models for the Supply and Market Place division. The role involves designing and coding data pipelines, feature engineering, model training, scoring, validation, and integrating generative AI solutions into existing systems. Requires experience with big data technologies, Python, and batch/real-time inferencing. | ServePost-train | 7 |
| Software Development Engineer II ( AI) Software Development Engineer II focused on building, integrating, and operationalizing AI solutions using ML and LLM technologies for Finance products. The role involves prompt engineering, RAG pipelines, AI workflows, data pipelines, and integrating AI services. It emphasizes shipping real products, system reliability, and production readiness. | Agent | 7 |
| Software Development Engineer III (AI) Software Development Engineer III for EG Finance AI platform engineering team, responsible for end-to-end technical execution of AI products, from solution design through production scale. Requires expertise in ML engineering, LLMs, software systems, and AI platforms, focusing on building reusable, scalable AI capabilities. Will work closely with Product Managers and Engineers to deliver AI systems that are trusted, explainable, and production ready. Requires deep hands-on expertise across software engineering, ML, LLMs, and MLOps. | AgentServe | 7 |
| Software Development Engineer II, AI Platform – Finance Products Software Development Engineer II on the AI Platform team focused on building, integrating, and operationalizing AI solutions for Finance products. This role involves ML engineering, software engineering, and applied AI, with an emphasis on shipping real products. Responsibilities include implementing prompt engineering, RAG pipelines, AI workflows, developing data pipelines, integrating AI services, and supporting experimentation and evaluation. | Agent | 7 |