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:

Expedia Group Advertising seeks a talented and motivated Machine Learning Engineer. In this role, you will contribute to the development and enhancement of our next-generation advertising marketplace. Your technical skills and collaborative mindset will help deliver impactful solutions for advertisers and travelers worldwide.

As a global leader in travel industry advertising, Expedia Group Advertising connects advertisers with millions of travelers. As a Machine Learning Engineer, you will play an important role in building and maintaining high-performance systems that support Expedia Group’s expanding advertising network. Your focus will be on delivering innovative solutions, ensuring system reliability, and supporting a culture of collaboration within the engineering team.

In this role, you will:

• Work in a cross-functional geographically distributed team of Machine Learning engineers and ML Scientists to design and code large scale batch and real-time pipelines on the Cloud.

• Prototype creative solutions quickly by developing minimum viable products and work with seniors and peers in crafting and implementing the technical vision of the team

• Act as a point of contact for junior team members, offering advice and direction

• Actively participate in all phases of the end-to-end ML model lifecycle (includes feature engineering, model training, model scoring, model validation) for enterprise applications projects to tackle sophisticated business problems in production environments

• Collaborate with global team of data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications

• Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.

• Participate in code reviews to assess overall code quality and flexibility.

• Define, develop and maintain artifacts like technical design or partner documentation

• Maintain, monitor, support and improve our solutions and systems with a focus on service excellence

Experience and qualifications:

Minimum Qualifications:

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

• 5+ years of relevant professional experience.

• Demonstrated ownership of end-to-end machine learning projects, from data exploration through model deployment in production.

• Proficiency in programming languages such as Python or Java, and experience with ML frameworks and libraries (e.g., Tensor Flow, Py Torch, scikit-learn).

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Preferred Qualifications:

• Experience operating machine learning solutions at scale, with an emphasis on reliability, performance, and maintainability.

• Proven architectural leadership in designing and implementing ML systems within complex, multi-service environments.

• Strong track record of data-driven decision making and implementing automated monitoring, testing, and retraining pipelines for ML models.

• Demonstrated expertise in integrating AI/ML capabilities into large-scale applications, ensuring responsible use of data and model outcomes.

• Advanced knowledge of responsible AI practices, including model fairness, interpretability, and compliance within product environments.

• Experience working with Agile/Scrum methodologies

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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.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, religion, gender, sexual orientation, national origin, disability or age.