Remote Expedia Software Engineer Jobs in Bothell, WA

Introduction to the team

Expedia Group is using AI to re-invent how we doengineeringto deliver hyper-personalized traveler experiences. At the foundation of every successful AI initiative is data.

The Customer Data Platform team is at the heart of Expedia Group's AI transformation, powering personalized experiences for over 700 million travelers annually across Expedia, Hotels.com, Vrbo, and our entire brand portfolio.We'rea dynamic group of engineers, data scientists, and product experts who are pioneering the use of generative AI and agentic systems to revolutionize how travelerdata is processed, understood, and activated ata massivescale.

We'renot just building data pipelines -we'recreating autonomous AI systems that understand traveler intent, predict needs, and enablehyper-personalizedtravel experiences in real-time.

Our team culture celebrates innovation, where experimentation is encouraged, failures are learning opportunities, and breakthrough ideas come from everyone.You'llwork alongside industry leaderswho'vebuilt transformative systems at companies like Meta, Amazon, Google, and Microsoft,tackling fascinating challenges like multi-modal travel planning, real-time personalization across 70+ countries and 30+languages, andbuilding AI thattruly understandsthe nuances of human travel desires.

The Customer Data Platform team at Expedia Group is looking for a proven, entrepreneurial, hands-on technical leader who will define and implement the vision for AI automated data engineering that will power EG's hyper personalized traveler experiences.

This is a rare opportunity to shape the future of AI in travel technology while havingan immediateimpact on how millions of people experience the joy of travel.

In this role, you will:

• Drive the technical vision, architecture, and implementation ofAIdrivensystems and services that power critical Expedia Group products across multiple domains

• Design and review complex system architectures, including detailedlow-leveldesigns, API contracts, and data models that enable robust, scalable, and secure AI capabilities

• Lead endtoend delivery of AI features and platforms, from problem framing and data/feature strategy through model integration, evaluation, and safe deployment into production

• Buildagentic systems that producetraveler data products that form the foundation of personalization across the entire customer journey, from user acquisition to post-trip engagement

• Mentor and technically guide engineers across teams, elevating AI engineering practices, code quality, observability, and reliability for servicesoperatingatglobal scale

• Collaborate with product, data science, and platform teams to translate ambiguous business and customer problems intowelldefinedtechnicalsolutionsleveragingML, optimization, and intelligent automation

• Safely integrate andoperateAI/MLenabled solutions that improve outcomes, including familiarity withAIdrivensystems, tools, orworkflowsandapplyingAI/ML concepts to real world products

Minimum Qualifications:

• Bachelor's degree in Computer Scienceor a related technical field; or Equivalent related professionalexperience

• 12+ years of relevant professional experience

• Extensive professional experience designing, building, andoperatinglargescale, distributed backend orfullstackservices, including ownership of critical systems or platforms

• Demonstratedexpertisein system design (including detailedcomponentandlowleveldesign), API design, and data modeling for highthroughput, lowlatency services

• Proven ability to own and drive technical direction and execution across multiple services or domains, influencing architecture and standards across teams, with strong software engineering skills in one or more modern programming languages

Preferred Qualifications:

• Advanced degree in a relevant technical field (e.g., Computer Science, Machine Learning, Applied Mathematics) with a focus on AI, ML, orlargescaledistributed systems

• Track recordof defining and evolving technical architectures for AIpowered platforms or productsoperatingatglobal scale, including data pipelines, feature stores, and online inference systems

• Expertisein building and integrating ML models into production services, including experimentation frameworks, evaluation, monitoring, and safe rollout strategies forAIdrivenfeatures

• Experience leadingcross functional technical initiatives andestablishingbest practices for reliability, performance, security, and cost optimization in AIintensive systems

• Familiarity with AIdriven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/MLenabled solutions that improve outcomes, and providing technical leadership on responsible and efficient AI useappropriate toa principallevel AI engineer