• United States - California - San Jose

• Technology

• Full-Time Regular

• 09/11/2025

• ID # R-98088

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.

The Technology Team at Expedia Group partners with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

Introduction to the Team:

Join Expedia Group’s newly formed Customer Relationship Management (CRM) Machine Learning Science team in San Jose, where your work will directly influence how millions of travelers engage with our platform. As a Machine Learning Scientist II, you’ll design intelligent systems that personalize outbound communications, drive loyalty, and shape the future of travel through AI.

In this role, you will:

• Research, design, and implement state-of-the-art recommendation algorithms for Customer Relationship Management (CRM) use cases, including personalized offers, retention strategies, and next-best-action recommendations.

• Build scalable machine learning models that adapt to sparse, noisy, and dynamic customer interaction data.

• Collaborate with data engineers to develop robust pipelines for feature generation, model training, and real-time inference.

• Conduct rigorous offline and online experiments, including A/B testing and counterfactual evaluation, to validate model performance.

• Translate business goals into measurable machine learning objectives, aligning technical solutions with customer engagement outcomes.

• Stay current with the latest advancements in recommendation research, deep learning architectures, and large-scale personalization systems.

Minimum Qualifications:

• MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience

• 1+ years of experience building production-grade recommendation or personalization systems

• Proficient knowledge of collaborative filtering and deep learning for recommendations

• Demonstrated skill in Python and at least one machine learning framework such as TensorFlow or PyTorch

• Experience handling large-scale, real-world data

• Strong communication skills, with the ability to explain technical concepts to various stakeholders

Preferred Qualifications:

• PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field

• 3+ years of experience in building and deploying large-scale machine learning systems

• Advanced knowledge of reinforcement learning and causal inference methods

• Experience with distributed systems like Apache Spark

• Proven track record of implementing and optimizing recommendation systems that drive business impact

• Experience mentoring junior team members and contributing to the data science community

• Familiarity with travel industry challenges and opportunities in personalization

• Experience productionizing ML models in collaboration with Machine Learning Engineers.

• Prior work in CRM, marketing tech, or outbound personalization systems.

• Contributions to open-source ML libraries or published research in recommendation systems.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

The total cash range for this position in San Jose is $122,500.00 to $171,500.00. Employees in this role have the potential to increase their pay up to $196,000.00, 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.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

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.