Senior Software Development Engineer - ML Platform

Senior Software Development Engineer – ML Platform

Build and evolve Expedia Group’s ML Platform, enabling reliable feature engineering, real‑time inference, monitoring, and cost transparency across multiple technical domains.

• Design, build, and evolve scalable machine learning platform capabilities, including system design, API design, and data modeling.
• Deliver high‑quality software using sound engineering practices, translating complex platform requirements into well‑structured low‑level designs and maintainable implementations.
• Improve platform reliability, performance, and operational health by identifying root causes, resolving technical issues, and driving resilient, secure, and observable solutions in production environments.
• Partner with engineers and adjacent stakeholders to define technical approaches, influence platform direction, and support adoption of shared ML infrastructure, tools, and services.
• Apply strong technical judgment across services or domain‑level platform components, balancing near‑term delivery with long‑term scalability, maintainability, and developer experience.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, applying AI‑ML concepts to real‑world products.

• Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience.
• 8+ years of relevant professional experience.
• Demonstrated ownership of complex services or multi‑service components within a technical domain, with accountability for design, delivery, and operational excellence.
• Strong proficiency in software engineering fundamentals, including system design, low‑level design, coding, testing, debugging, and performance optimization.
• Experience working with machine learning platforms, data‑intensive systems, or infrastructure that supports model development, deployment, or lifecycle management.

• Experience designing and scaling ML platform capabilities that support broad engineering use cases across a domain or organization.
• Demonstrated ability to leverage AI‑assisted development tools and agentic workflows to accelerate delivery, with experience evaluating tradeoffs, managing reliability, and establishing best practices for AI tool adoption across a team.
• Demonstrated strength in architecture leadership, including making pragmatic design decisions, improving platform extensibility, and driving technical standards.
• Track record of improving reliability, observability, and efficiency for production systems through automation, instrumentation, and data‑driven operational improvements.
• Experience working with AI/ML‑enabled products or platforms, including an ability to safely integrate and operate AI/ML‑enabled solutions that improve outcomes.
• Deeper exposure to AI/ML workflows such as model training, inference, feature pipelines, or evaluation frameworks, and applying that knowledge to platform engineering decisions.

Seattle: $ to $, with potential to increase pay up to $ based on performance.

• Medical, dental, and vision coverage.
• Paid time off and parental leave.
• Wellness and travel reimbursement, travel discounts.
• Employee Assistance Program.
• International Airlines Travel Agent (IATAN) membership.

If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to the Recruiting Accommodations Team.

This employer participates in E‑Verify. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.