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# Senior Software Development Engineer - ML Platform

- **Company:** Expedia Inc.
- **Location:** Leavenworth, WA, United States
- **Experience:** Expert
- **Salary:** $184,500.0 - $258,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Debugging, Software Design Documents, Machine Learning, Performance Tuning, Azure Machine Learning, Software Engineering, Feature Engineering, System Availability, Agentic-AI, Information Technology, Data Analytics, Machine Learning Operations, Api Design
- **Published:** October 18, 2026
- **Apply:** https://www.dice.com/job-detail/b5f83c53-e24a-45da-aa1a-28a8ec93933d

## About the Role

* 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.

## Description

* 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.