Machine Learning Engineer III

Employer: Expedia Group

Location: Seattle, Washington, United States

Salary: USD 137 500.00 per year; potential up to USD 220,000.00

Closing date: 26 Dec 2024

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 global hybrid work setup, and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey.

Introduction to the team

We're seeking talented machine learning engineers to join our Travel Interactions & Intelligence (TII) team, a core unit that powers critical customer-facing functionalities in our travel platform. We are looking for a top performer who mentors junior engineers, applies new data engineering principles to improve existing systems, and leads complex, well-defined projects.

The Travel Interactions & Intelligence (TII) team is responsible for two key pillars:

Price Intelligence & Forecasting: design and maintain sophisticated ML systems to predict travel pricing based on historical pricing data.

Customer Engagement Systems: implement smart triggers for price alerts, deals suggestions, and travel updates.

In this role, you will:

• Proactively team up with peers across the organization to build an understanding of cross dependencies and shared problem solving.
• Think holistically to identify opportunities around policies/processes to increase efficiency across organizational boundaries.
• Test, monitor, debug, and fix issues within established SLAs.
• Have a strong command of Spark and understand how map-reduce works, how to evaluate, optimize, and debug Spark applications.
• Be familiar with training models with very large datasets, strategies for parallelizing and optimizing the training jobs especially with GPUs or large-compute.
• Instrument streaming and parallel inference tasks to accommodate large traffic or volume of data.

Experience and qualifications:

• 5+ years for Bachelor's, 3+ years for Master's, or Bachelor's or Master's or equivalent experience. Technical degree preferred.
• Strong programming skills in Python or Java.
• Familiar with cloud services (e.g., AWS) and workflow orchestration tools (e.g., Airflow).
• Built and maintained at least one machine learning engineering pipeline end-to-end in production environments, including feature engineering, model training, model scoring, model serving (Kubernetes, Docker), etc.
• Built and maintained live and streaming applications in a hybrid/cloud infrastructure (Splunk, Datadog).
• Built and maintained complex data pipelines for large data processing.

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

Expedia Group 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.