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Traveltechessentialist

Senior Machine Learning Engineer, Distribution and Supply

Traveltechessentialist, Seattle, Washington, us, 98127

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Senior Machine Learning Engineer, Distribution and Supply United States - Washington - Seattle

Technology

Full-Time Regular

10/14/2025

ID # R-97571

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable and create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win.

Introduction to the team The Distribution and Supply team revolutionizes how people search, book, and experience travel. We manage Pricing, Inventory, Content, and Marketplace Trust & Safety, ensuring travelers receive the best deals across hotels, vacation rentals, flights, cars, packages, and cruises. Our systems handle trillions of events on a global scale, connecting hundreds of millions of consumers across Expedia Group’s travel brands.

In this role, you will:

Collaborate with cross‑functional teams of Software Engineers and Machine Learning Engineers/Scientists to design and develop large‑scale batch and real‑time ML solutions in the Distribution and Supply domain.

Propose, lead, and implement innovative ML applications across Pricing, Inventory, Content, and Trust & Safety while aligning technology strategy with business objectives, ensuring measurable impact.

Lead end‑to‑end lifecycle for mid‑to‑large‑scale ML projects, from design to deployment.

Establish and promote best practices, industry standards, and high‑quality methodologies.

Mentor junior engineers, fostering best practices for integrating ML into existing systems.

Collaborate across senior‑level organizations, leading communities of practice for shared learning.

Drive cross‑organizational initiatives, solve complex technical challenges, and innovate to enhance performance and scalability.

Minimum Qualifications:

8+ years for Bachelor’s, 6+ years for Master’s; degree in Software Engineering, Computer Science, or related field.

Proficiency in Python and Scala (or Java).

Expertise in Big Data technologies such as Hadoop, Hive, or Spark.

Proven ability to productionize machine learning models, including feature engineering, scalability, validation, and deployment.

Preferred Qualifications:

Strong experience with cloud platforms such as AWS, EMR, Kubernetes, and Docker.

Experience building real‑time applications, preferably with Spark.

Proficiency with ML platforms like Databricks or SageMaker, and libraries such as PyTorch or TensorFlow.

Hands‑on experience with workflow orchestration tools (e.g., Airflow, Flyte).

Experience in the e‑commerce or travel industry.

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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 Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.

Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

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, or veteran status. This employer participates in E‑Verify. The employer will provide the SSA and, if necessary, the DHS with information from each new employee’s I‑9 to confirm work authorization.

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