Introduction to the team 

Expedia Group Advertising builds the platforms and experiences that connect advertisers with millions of travelers across the globe. Our mission is to help partners reach the right traveler with the right message at the right time through intuitive advertiser experiences, high-performance ad delivery systems, and intelligent AI-powered optimization.

We are growing our Advertiser Experience engineering team and are looking for a talented, product-minded Senior Software Development Engineer with deep experience building and operating production machine learning systems. This role is ideal for an engineer who combines strong software engineering fundamentals with hands-on ML engineering expertise and is passionate about bringing intelligent capabilities into customer-facing products at scale.

You will help shape the next generation of our advertising marketplace by building scalable advertiser-facing platforms, backend services, and ML-powered capabilities that drive measurable business outcomes. Working at the intersection of distributed systems, machine learning, and product development, you will be responsible for productionizing and operating intelligent systems that power recommendations, ranking, forecasting, decision support, and generative AI experiences for advertisers.

Success in this role requires the ability to design and build production-grade software, deploy and operate machine learning models and inference services at scale, and partner closely with ML engineers, applied scientists, and product teams to transform data and models into impactful advertiser experiences.

In This Role, You Will

Lead the design, implementation, and evolution of backend APIs and distributed services that power high-quality advertiser experiences with strong performance, reliability, trust, and transparency.

Own and evolve the architecture of core platform services supporting campaign management, optimization, and intelligent decisioning across Expedia Group’s advertising network.

Build and operate production systems that integrate machine learning into advertiser workflows, including recommendations, smart defaults, ranking, prediction, forecasting, and AI-assisted decision support.

Lead the application of LLMs and generative AI to improve campaign setup, streamline configuration workflows, and automate repetitive operational tasks at scale.

Collaborate with software engineers and ML engineers or applied scientists to design and deliver batch and real-time systems for advertising use cases.

Drive end-to-end delivery of complex, multi-quarter initiatives from technical design through production deployment, monitoring, and iterative improvement.

Establish and uphold engineering best practices across software and ML-powered systems, including code quality, testing, observability, system reliability, and model/service monitoring.

Design and operate scalable data and ML-enabled services, including feature pipelines, inference services, experimentation frameworks, and production monitoring for model and system health.

Partner with product, UX, analytics, and business stakeholders to identify high-impact opportunities and translate them into scalable technical solutions.

Contribute to cross-team initiatives that improve performance, scalability, and operational maturity of platform and AI-driven systems.

Mentor engineers through design reviews, code reviews, and technical guidance, helping raise the bar for engineering quality and system design.

Minimum Qualifications

• Bachelor’s degree with 8+ years of experience, or Master’s degree with 6+ years of experience, in a related technical field; or equivalent professional experience.

• Strong exp