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

We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we maintain a brand-focused approach in our marketing while leveraging the scale and efficiency we’ve built through functional expertise.

The Meta/SEM Bidding Programs team at Expedia Group is looking for a Machine Learning Engineer III who mentors junior engineers, applies modern data engineering principles to improve existing systems, and leads complex, well-defined projects.

In this role, you will:

• Proactively collaborate with peers across the organization to build an understanding of cross-dependencies and shared problem-solving.

• Develop and test complex or non-routine software applications and related programs and procedures to ensure they meet design requirements.

• Apply knowledge of software design principles, data structures, design patterns, and computer science fundamentals to write clean, maintainable, optimized, and modular code with clear naming conventions.

• Contribute to design discussions for big data applications.

• Apply data manipulation techniques commonly used by Data Scientists.

• Coordinate with stakeholders holding varied perspectives to develop solutions and contribute your own suggestions.

• Think holistically to identify opportunities around policies and processes to increase efficiency across organizational boundaries.

• Assist with a whole-systems approach to analyzing issues, ensuring all components (structure, people, process, and technology) are identified and accounted for.

• Identify areas of inefficiency in code or system operations and offer suggestions for improvement.

• Recommend advancements, innovations, and changes in technologies—specifically relating to machine learning engineering, ML platforms, DS models, enterprise information management, business intelligence, and data science.

Experience and Qualifications:

• 3+ years of experience with end-to-end machine learning engineering pipelines in production environments (including feature engineering, model training, scoring, validation, etc.) and streaming applications in hybrid/cloud infrastructure.

• Bachelor’s or Master’s degree in a technical field or equivalent relevant work experience.

• Strong command of Spark, including understanding map-reduce, evaluating, optimizing, and debugging Spark applications.

• Proficiency with machine learning libraries such as Py Torch and Tensor Flow, including common integration patterns for serving inference.

• Familiarity with data access, such as defining IAM policies for S3 buckets.

• Ability to instrument streaming or parallel inference tasks to accommodate large traffic or data volumes.

• Understanding and designing moderately complex systems.

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.