Senior Software Development Engineer - ML Platform

Expedia, Inc.; Seattle (WA); On-site; USD 184,500 - 258,000; Full time

Benefits offered by this job

Full benefits package

Paid time off

Flexible work model

Job summary

PowerToFly seeks a Senior Software Development Engineer for their ML Platform team in Seattle. The candidate will design scalable machine learning capabilities, ensuring high-quality software through sound engineering practices and optimizing platform performance.

With 8+ years of experience, a Bachelor's degree in Computer Science, and proficiency in software engineering fundamentals, you will be instrumental in developing AI/ML-enabled solutions. The role offers a comprehensive benefits package and base salary ranging from $184,500 to $258,000, with performance-based potential of up to $295,000.

Qualifications

• 8+ years of relevant professional experience.
• Demonstrated ownership of complex services or multi-service components.
• Strong proficiency in software engineering fundamentals.

Responsibilities

• Design and build scalable machine learning platform capabilities.
• Deliver high-quality software using sound engineering practices.
• Improve platform reliability and performance.

Skills

Machine learning platforms

Software engineering fundamentals

Data modeling

System design

Performance optimization

Education

Bachelor's degree in Computer Science or related field

Job description

Senior Software Development Engineer – ML Platform

Join the ML Platform team and help build Expedia Group's machine learning platform enabling teams to develop, deploy, and manage ML models safely and at scale.

Responsibilities

• Design, build, and evolve scalable machine learning platform capabilities, including system, API design, and data modeling.
• Deliver high-quality software using sound engineering practices, translating platform requirements into well‑structured low‑level designs.
• Improve platform reliability, performance, and operational health by identifying root causes and deploying resilient solutions.
• Partner with engineers and stakeholders to define technical approaches and support adoption of shared infrastructure.
• Apply strong technical judgment across services, balancing delivery with long‑term scalability and developer experience.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes.

Minimum Qualifications

• Bachelor's degree in Computer Science or related field; or equivalent professional experience.
• 8+ years of relevant professional experience.
• Demonstrated ownership of complex services or multi‑service components within a technical domain.
• Strong proficiency in software engineering fundamentals (system design, coding, testing, debugging, performance).
• Experience with machine learning platforms, data‑intensive systems, or supporting model development and deployment.

Preferred Qualifications

• Experience designing and scaling ML platform capabilities across broad engineering use cases.
• Experience leveraging AI‑assisted development tools and agentic workflows.
• Architecture leadership, pragmatic design decisions, and technical standards.
• Track record improving reliability, observability, and efficiency via automation and instrumentation.
• Experience working with AI/ML‑enabled products or platforms.
• Deep exposure to AI/ML workflows such as training, inference, feature pipelines, or evaluation frameworks.

Compensation

Base salary range: $184,500 – $258,000 for the Seattle location, with potential for up to $295,000 based on performance.

Benefits

Full benefits package including medical, dental, vision, paid time off, parental leave, flexible work model, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent membership.

Equal Employment Opportunity

Expedia is committed to creating an inclusive work environment. 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 other protected characteristics. This employer participates in E‑Verify.