Senior Machine Learning Engineer - Media Solutions

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.

Senior Machine Learning Engineer, Media Solutions

Introduction to team

Expedia Group Advertising Engineering is dedicated to building innovative solutions for travel advertisers enabling them to use Expedia's network of leading travel brands and global sites. We have revolutionized the way brands reach and connect with online travel consumers, emerging as a leader in online advertising sales among travel and e-commerce brands. With a growing product portfolio offering a multitude of advertising and sponsorship opportunities, our Advertising team at Expedia has created a viable marketing platform for advertising partners to reach the 112 million worldwide monthly unique visitors that visit Expedia Group sites. 
 

We connect brands with hundreds of millions of travel consumers across our global network of leading travel e-commerce brands. Our products scale across the enter Expedia Group portfolio, with more than 200 branded sites in 75 countries and 35 languages. 

In this role, you will: 

• You will work in a cross-functional team of Software Engineers and Machine Learning engineers/Scientists across the organization to design and code large scale batch and real-time ML in the advertising domain
• Propose new ideas on applying ML to Advertising creatives, Ad selection, Ad Campaign, Experimentation and other areas of the Advertising life cycle
• Design, implement and deploy large scale data pipelines (both real time and batch)
• Lead the end-to-end product life cycle for mid to large machine learning projects
• Find and advocate for industry standards and best practices in machine learning engineering methodologies, techniques, and technologies
• Contribute to advancing the team's design methodology and quality programming practices
• Collaborate with other software engineers, mentor junior team members to build ML into existing systems and adapt best practices
• Innovate and implement new ideas to solve complex software problems
• Lead, coordinate, and collaborate on multiple concurrent and complex cross-organizational initiatives 
• Communicate and work with geographically distributed cross functional teams 

Experience and Qualifications:

• You have a degree in software engineering, computer science or a similar field.
• You are comfortable programming in Python and Scala (or Java)
• You are comfortable with Big Data technologies, in particular Hadoop, Hive, and Spark.
• You have experience in building real-time applications, preferably in Spark
• Experience in productionizing machine learning models including feature engineering, model scalability, model validation, and model deployment
• Strong experience with cloud computing platforms (AWS, EMR, Kubernetes, Docker)
• Strong experience working with ML platforms (Databricks, SageMaker, etc.)
• Strong command with machine learning libraries such as PyTorch and Tensorflow
• You have hands-on experience with workflow management tools (e.g. Airflow)
• Experience working with Agile/Scrum methodologies
• Familiarity with 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.

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.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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 Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.