Chicago, Illinois, USA
3 days ago
Machine Learning Scientist III

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 (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.

Machine Learning Scientist III

Are you excited about solving real world problems using advanced machine learning at one of the largest online travel companies in the world?  Expedia Group is a global leader in the travel industry.  We connect millions of travelers to new experiences and people around the world.  If you love to travel and like to bring joy to others, we'd like to hear from you!

Expedia’s Data and AI group is looking for a Machine Learning Scientist to join our Search Machine Learning team.  In this role, you will develop machine learning models and data-driven solutions that bring intelligence to our search capabilities.  You will contribute to highly visible features on our websites with direct impact to our travelers.  With multiple brands and lines of businesses in our portfolio, Expedia Group has unparalleled and rich travel data and platform for you to explore new ideas and unlock significant value.

What You'll Do

Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions

Formulate machine learning problems, build data ETL pipeline, conduct exploratory data analyses, and develop effective models and scalable solutions

Partner with engineering teams to deliver your solutions into production and to provide ML expertise support

Document the technical details of your work

Present your ideas and results to stakeholders and leadership teams in a clear and effective manner

Collaborate and brainstorm with other team members and across the company

Who You Are

PhD or Master’s degree in a technical field; or equivalent related professional experience

3+ years of experience in building machine learning models in the industry

Solid understanding of modern machine learning theories and techniques, mathematics, statistics, and hypothesis testing

Hands-on experience with data wrangling, feature engineering, model building, and visualization

Fluency in Python programming and related machine learning tools (such as NumPy, Pandas, and scikit-learn), deep learning frameworks (such as TensorFlow or PyTorch), and SQL-like query languages (such as Spark)

Experience working with large data sets in a distributed computing environment

Effective written and verbal communication skills for both technical and non-technical audiences

The total cash range for this position in Chicago is $128,000.00 to $179,500.00. Employees in this role have the potential to increase their pay up to $205,000.00, 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.
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