Senior AI / ML Data Engineer - Layla AI
Expedia Group
- Location
- Washington Seattle Campus
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 31, 2026
Skills
About this role
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Introduction to the Product Team The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company. We connect Travelers to new experiences, through trusted relationships. We use the power of Expedia Group brands to empower strategic partners to nurture and grow the existing relationship with their audience. Strategic Partnerships and Affiliates breadth of solutions which include cashback, travel offers, loyalty exchange, co-branded sites, Affiliate APIs and EG’s Affiliate Program, bring a partners’ audience onto EG sites, thereby increasing EG’s traffic and exposure. Introduction to the Layla Team Layla is an AI-native travel-planning and booking company, now part of Expedia Group’s Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary — flights, hotels, activities, and the day-by-day detail — in minutes. As part of Expedia Group, the team combines Layla’s planning and personalization capabilities with Expedia Group’s global supply, first-party traveler insights, marketplace scale, and booking technology. The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks — with decisions driven by data and AI tooling used in practice every day. As a Senior AI / ML Data Engineer, you will build the data foundations that power Layla’s AI-native travel experiences — the reliable pipelines, high-quality datasets, and experimentation and evaluation support that let the team ship and improve AI/ML systems in production with confidence. In this role, you will: Design, build, and operate reliable, scalable data pipelines that power Layla’s AI-native trip-planning and booking experiences across Layla and Bellboy. Own data quality, reliability, and observability across critical datasets, establishing well-documented, trustworthy data models that other teams can confidently extend. Build and support the data foundations for experimentation and model evaluation, enabling honest, timely readouts that inform product and AI/ML decisions. Enable the production use of AI/ML systems — supporting feature and data availability, evaluation datasets, and monitoring — while applying AI/ML concepts responsibly. Partner closely with Product, Analytics, and ML/engineering teams to turn ambiguous questions into dependable data and self-serve answers. Advocate for engineering excellence in data — testing, documentation, and reusable patterns — and mentor other engineers on best practices.
Minimum Qualifications
Bachelor’s degree in Computer Science, Data Engineering, or a related technical field; or equivalent related professional experience. 8+ years of relevant professional experience. Strong data engineering expertise, including advanced SQL and data modeling, and experience designing and operating production data pipelines. Proficiency