Senior Software Development Engineer - ML Platform

Expedia, Inc.; Seattle, Northern (WA, KY); Hybrid; USD 185,000 - 258,000; Full time

Benefits offered by this job

Health/Dental/Vision

Paid time off

Employee Assistance Program

Wellness & travel reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Senior Software Development Engineer for the ML Platform in Seattle. You will design and evolve scalable ML platform capabilities, enabling feature engineering, model inference, and observability across domains.

You will deliver high-quality software, improve production reliability, and partner with teams to adopt shared ML infrastructure while balancing near-term delivery with long-term scalability.

Qualifications

• Bachelor's degree in CS or related field, or equivalent experience.
• 8+ years of professional software experience.
• Ownership of multi-service components with end-to-end accountability.
• Strong fundamentals in system design, coding, testing, and performance.
• Experience with ML platforms or data-intensive infra.

Responsibilities

• Design and evolve scalable ML platform capabilities.
• Deliver high-quality software with engineering best practices.
• Improve reliability, performance, and operational health in production.
• Collaborate with engineers and stakeholders to define approaches.
• Apply technical judgment for scalability and maintainability.
• Safely integrate AI/ML-enabled solutions into products.

Skills

System design

Code performance

ML platforms

Observability

Reliability engineering

Cross-functional collaboration

Education

Bachelor's in CS

Tools

Python

Java/Scala

TensorFlow

Kubernetes

Job description

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.

Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

The Senior Software Development Engineer – ML Platform role is a part of the ML Platform team. We build Expedia Group's ML Platform: the tools, components, processes and services that power the full machine learning lifecycle, from feature engineering and training to real-time inference, monitoring, and cost transparency. We lower the barrier to entry so any team, from ML scientists to non-coders, can ship models safely, fast, and at scale.

In this role, you will:

• Design, build, and evolve scalable machine learning platform capabilities, including system design, API design, and data modeling, to enable reliable feature engineering, feature discoverability, model inference, and operation across multiple technical domains.
• 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, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Minimum Qualifications:

• 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.

Preferred Qualifications:

• 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.

The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. 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. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.