Machine Learning Scientist II

Expedia

Last Updated: 10/30/2025 2:52:33 AM

Position Closed

Live Market Data for this Exact Role

These metrics reveal the true, unfiltered history of this specific position. We track the exact number of days the requisition has been active and monitor real salary range fluctuations over time, helping you verify compensation trends before applying.

Current Days Open
21
Reqs Seen
3
Current Min Salary
$112,000.00 (Yearly)
Current Max Salary
$156,500.00 (Yearly)
Historical Time to Fill
16
First Seen
10/10/2025
Lowest Min Salary Seen
$112,000.00 (Yearly)
7/28/2026
Highest Max Salary Seen
$156,500.00 (Yearly)
7/28/2026

Full 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 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. Were building a more open world. Join us. Machine Learning Scientist II - Post Booking Experiences Introduction to the Team: Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel? Our Machine Learning and Data Science team are growing! We are looking to hire researchers and data scientists interested in breaking new ground to tackle some of the most complex customer experience problems in the travel domain. The focus of your job will be on developing state-of-the-art machine learning algorithms to power and enhance the customer experience across highly complex post-booking recommendations, customer service, and trip management use cases. This is your opportunity to build the core algorithms that help Expedia Group's Post Booking organization bring context and intelligence to every step of the traveler journey and redefine what service excellence in travel can be. We are looking for a hands-on scientist who is passionate about applying machine learning to complex prediction and optimization problems that drive an ecosystem that anticipates traveler needs, personalizes dynamic add-ons and upsells, and improves service experiences, making travel more seamless for millions of customers and partners worldwide. In this role you will: Implement & Validate ML Models: you will implement, test, and validate machine learning models, taking features from concept to production. Test, Learn, and Iterate: Design and analyze rigorous A/B tests to validate your models and quantify their business impact. Proactively monitor model performance and iterate to improve it. Collaborate and Learn: Partner effectively with senior scientists, engineers, and product managers to understand requirements and contribute to solutions. You will be expected to continuously learn and develop a deeper understanding of our data, infrastructure, and problem space. Minimum Qualifications: PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics) or equivalent experience 1+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems. Strong Foundation in Machine Learning Theory and core Statistical concepts. Proficiency in Python and its data science ecosystem (e.g., scikit-learn, pandas). Experiencing working with tools needed to measure impact including experimental Design (A/B Testing). Data Querying experience with SQL is essential. Preferred Qualifications: Domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce Experience building and deploying models using GenAI/LLM technologies 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 individuals 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 employees 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 Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless youre 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. Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. 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. For more information, visit www.expediagroup.com. Employment opportunities and job offers at Expedia Group will always come from Expedia Groups Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless youre confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to 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 lifeatexpediagroup.com/jobs.

Similarity vs. Compensation Matrix

How to read this chart:

This interactive scatter plot benchmarks the compensation for this position against the broader market. The vertical Golden Line represents the midpoint salary for the current requisition, while the Blue Dots map competing open roles based on their semantic match and pay scale.

Click any dot to investigate a competitor. For the best leverage, target roles in the top-right quadrant—these are highly relevant positions offering above-average compensation.

Lower Match, Higher Pay Higher Match, Higher Pay
Lower Match, Lower Pay Higher Match, Lower Pay

Similar Open Roles & Salary Benchmarks

Don't limit your search to a single application. Below is a curated list of active openings across the market. To ensure high-quality leads, we enforce a strict 70% similarity threshold—meaning these aren't just superficial keyword matches, but genuinely viable career alternatives. Use these competing benchmarks to confidently negotiate your salary expectations or apply directly to higher-paying offers.