Machine Learning Scientist III

Company: ENGINEERINGUK
Location: Seattle
Posted on: May 20, 2025

Job Description:

You will need to login before you can apply for a job.Employer Expedia Group Location Seattle, Washington, United States Salary USD 137,500.00 - 192,500.00 per year;USD 220,000.00 Closing date 5 Jun 2025Expedia 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 III

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 have a brand focus in our marketing, while leveraging the scale and efficiency we`ve built in functional expertise.

Are you passionate about using Machine Learning (ML) and Natural Language Processing techniques to enhance the Traveler Experience? Our Marketing Content Machine Learning Science team focuses on generating and optimizing content that delivers relevant, personalized experiences to travelers and drives value for our business.

We are looking for a self-motivated and independent individual who will have end to end ownership over driving impact to Expedia`s largest Marketing channels. With ample access to the latest technology this could be an exciting position for someone who loves to explore and deeply understand applications of machine learning!

In this role, you will:

• Develop and implement advanced machine learning models (including Large Language Models) and statistical algorithms, processing massive datasets to build scalable prototypes
• Explore new content opportunities in text and image domains to create personalized traveler experiences with high business impact
• Design and run experiments (A/B testing, multi-variate, factorial design, stratified sampling) to measure the effectiveness of campaigns and new initiatives
• Collaborate with cross-functional teams, including Machine Learning Science, Marketing, and Engineering, and present findings to executives and stakeholders to drive strategic decisions
• Contribute to the success of Expedia's ML community by mentoring team members, fostering a collaborative culture, and sharing best practices with other ML teams
  
  Experience and Qualifications:
  
  • 5+ relevant experience and/or Master`s Degree or PhD preferred in a related field
  • Proficient in one or more data science programming languages (Python, Java, R)
  • Strong expertise in ML techniques such as Bayesian Methods, Clustering, Decision Trees, Latent Dirichlet Allocation, NER, Random Forests, and more
  • Proven experience applying NLP techniques and LLMs in production to solve business problems and generate significant value
    
    The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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 Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, 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.Create a job alert and receive personalised job recommendations straight to your inbox.
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Keywords: ENGINEERINGUK, Lakewood , Machine Learning Scientist III, Other , Seattle, Washington