Senior Machine Learning Engineer at Expedia Group in Seattle, Washington

Posted in Other about 3 hours ago.

Type: Full Time





Job Description:

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.

Introduction to the team

Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?

This is exactly what we, the Machine Learning Engineering group in Expedia, do . Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia's data assets into intelligent and real-time insights to support Fraud & Risk detection. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, Airflow, Databricks, Kubernetes, AWS and much more!

In this role, you will:

  • Work in a cross-functional team of Machine Learning engineers and Machine Learning Scien tists to design and build business impactful ML solutions

  • Guides others in design of easily testable and observable software

  • Ha s s trong understanding of how team's goals fit a business need

  • Ability to identify business problems at the team level and provide solutions

  • Demonstrate s strength in multiple technologies or languages

  • Justifies technology choices to technical and non-technical stake holders

  • Serves as an expert for a given domain

Experience and qualifications:

  • 8+ years with a Bachelor's or 6+ years with a Master's in CS or similar fields.

  • Expert knowledge with cloud services (e.g., AWS) , workflow orchestration tools (e.g., Airflow) and multiple computer languages

  • Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and Pytorch .

  • Recognized ability to fill in for peer engineering management as need arises

  • Experience in bringing together different components to f orm a fully functional solution to a business problem

  • Has experience leading team in operational excellence (such as unit testing, establishin g SLAs, programming for resiliency and scalability)

  • Ability to a dvise management on technical limitations of software design for products and provides alternative solutions

  • Has experience f acilitat ing collaboration with different stakeholders with varied perspectives to develop effective solutions to issues

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, 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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