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.

Machine Learning Scientist II - InsurTech

Introduction to the Team:

At Expedia Group, our mission is to power global travel for everyone, everywhere. If you are passionate about building incredible customer experiences and seek a collaborative, high-growth, and fast-paced environment, you will love Expedia Group's InsurTech team! In InsurTech, we provide confidence to book, peace of mind, and protection when the unexpected happens for millions of travelers globally. We deliver through an innovative portfolio of customer centric, machine learning driven, risk-based products. We help millions of travelers worldwide having a more personalized experience by creating algorithms for recommendations algorithms including property, destinations, car rental and activity InsurTech products, to help our travelers finding their dream holiday more protected and seamlessly.

We are looking for an outstanding Machine Learning Scientist with a penchant for innovation, love for risk management, and deep knowledge of machine learning theory to join the InsurTech team. In this role, you will be a key member of Machine Learning Science organization in pursuit of revenue optimization and pricing, product personalization, and development of complex models to construct and offer our portfolio of risk-based products. You will be building ML algorithms to tackle high-impact, sophisticated problems using cutting-edge technology and approaches while working in a fun and diverse team!

In this role, you will:

Build end-to-end design of one step models based on detailed understanding of business requirements, including general approach, choice of algorithm and data sources.

Work in close partnership with Product, Data and Technology teams to identify new opportunities and ensure that key projects that are carried out in the team are delivered in a timely fashion.

Develop a deep understanding of our data and ML infrastructure.

Be a technical leader on use, adoption and implementation of personalization and recommendations algorithms.

Minimum Qualifications

MSc or PhD degree in: ML or Computer Science, computer vision, mathematics, or a science field with strong data/ML component; or Equivalent related professional experience.

3+ yearshands on experience with ML in production, including building datasets, selecting, and engineering features, building, and optimizing algorithms or equivelent experience.

Proficiencywith ML packages an tools such as TensorFlow, PyTorch, Keras, Python (scikit-learn, pandas, numpy, scipy, Matplotlib), Spark MLlib,

Preferred Qualifications

Real world experience with Internet scale data on Spark, Hadoop or similar platform highly preferred.

Intellectual curiosity and desire to learn new things, techniques, and technologies.

You will apply data visualization principles consistently resulting in clear and consistent outcomes.

The total cash range for this position in Seattle is $112,000.00 to $156,500.00. Employees in this role have the potential to increase their pay up to $179,000.00, 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.

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Machine Learning Scientist II