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Machine Learning Engineer III

Job in Seattle, King County, Washington, 98127, USA
Listing for: Expedia, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we 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 know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the team

The Distribution and Supply team at Expedia Group is revolutionizing how people search, book, and experience travel. We power the systems behind Pricing, Inventory, Content, and Marketplace Trust & Safety, ensuring travelers find the best deals and most reliable experiences across hotels, vacation rentals, flights, cars, packages, and cruises. Our platforms process trillions of events globally, connecting hundreds of millions of travelers across Expedia Group’s brands.

As a Machine Learning Engineer III, you’ll design and scale the intelligent systems that power Expedia’s global travel marketplace. You’ll work across Content, Pricing & Availability, Trust and Safety domains operating at massive scale and complexity.

Our Content systems manage hundreds of millions of digital assets—images, text, videos, and attributes that bring destinations and experiences to life. You’ll use machine learning to automate content enrichment, enhance quality, and deliver personalized travel recommendations.

In Pricing & Availability, you’ll build models that optimize real‑time pricing and inventory for hotels, rentals, and vehicles—processing millions of products and prices for users per second. Your work ensures travelers see the most accurate, competitive, and relevant prices worldwide.

Within Trust and Safety, you’ll develop models that uphold trust and fairness across Expedia’s two‑sided ecosystem, detecting anomalies, mitigating fraud, and supporting partners in delivering high‑quality traveler experiences.

If you’re passionate about applying machine learning to complex, high‑scale systems that shape how the world travels, join us and help define the future of travel technology at Expedia Group.

In this role, you will:
  • Collaborate in 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
  • Work on cross‑organizational initiatives, solving complex technical challenges, and innovate to enhance performance and scalability
Minimum Qualifications:
  • 5+ years of experience for a Bachelor's degree, or 3+ years for a Master's degree in a software engineering role; or equivalent related professional experience
  • Proficiency in Python and Scala (or Java)
  • Expertise in Big Data technologies such as Hadoop, Hive, or Spark
  • Proven ability to product ionize 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 Sage Maker, and libraries such as PyTorch or Tensor Flow
  • Hands‑on experience with workflow orchestration tools (e.g., Airflow, Flyte)
  • Experience…
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