Senior Machine Learning engineer - Distribution & Supply

Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

8+ years of relevant professional experience.

Strong proficiency in at least one modern programming language commonly used at Expedia Group for ML (such as Python or Java), with deep understanding of core software engineering concepts, system design (LLD), API design, data modeling, and ML fundamentals including model training, evaluation, and deployment.

Proven experience working with service‐oriented or microservice architectures to integrate ML capabilities into production systems, including building and consuming APIs, working with large‐scale data pipelines, and ensuring reliability, scalability, and security of ML‐backed services.

Hands‐on experience operating ML workflows in production environments, including monitoring model and data health, responding to incidents, and improving systems based on experimental results and operational feedback.

Experience architecting and evolving complex, distributed ML platforms or systems that support high‐volume, low‐latency prediction workloads or large‐scale batch inference, including clear, well‐versioned API contracts and resilient data models.

Demonstrated ability to lead technical design for ML‐driven features or services, make sound tradeoffs between modeling complexity, performance, and operational cost, and align solutions with broader domain or organizational standards.

Track record of driving operational excellence for ML systems, such as improving observability of models and data, reducing manual toil through automation (for example, CI/CD for models, feature stores, or model registry workflows), and enhancing performance, resilience, or cost efficiency.

Familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real world products, including designing and running experiments, using metrics and analytics to guide model iteration, and managing model lifecycle (retraining, versioning, and rollout strategies).

Hands‐on experience with advanced AI/ML tooling and infrastructure appropriate to this level (for example, distributed training frameworks, modern ML platforms, or inference optimization techniques) and using these to deliver robust, scalable, and trustworthy ML solutions across multiple product or domain areas.

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.

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.

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.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams.

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Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact.

Our email domain is @expediagroup.com.

The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.