Expedia Group · 15 minutes ago
Machine Learning Science Graduate - Masters - 2026 - San Jose, Seattle
Washington - Seattle Campus
Full-time
Hybrid
New Grad, Entry Level
$112K/yr - $179K/yrExpedia Group is a company that powers global travel for everyone, everywhere through cutting-edge technology and innovative solutions. They are seeking a Machine Learning Science Graduate to develop and apply machine learning models and techniques to enhance the travel experience by analyzing complex data and improving business metrics.
CommunitiesInternetReservationsTask ManagementTechnical SupportTicketingTourismTransportationTravel
Responsibilities
Applying statistics methods like confidence intervals, point estimates and sample size estimates to make sound and confident inferences on data and A/B tests
Applying Natural Language models to Google keyword analysis and applying meta models to our multi-objective ranking problem
Communicating complex analytical topics in a clean & simple way to multiple partners and senior leadership (both internal & external)
Conducting feature engineering and modifying existing models/techniques to suit business needs
Developing domain expertise in fraud & risk to understand how to detect risky transactions
Modeling rich and complex online travel data to understand, predict and optimize business metrics to help improve the traveler experience
Framing business problems as data science problems with a concrete set of tasks
Apply your domain (i.e. travel, online retail) knowledge, business acumen (understanding the underlying business objectives), and critical reasoning skills to your work
Qualification
Required
Must be available to start on August 17, 2026
Must be graduating between December 2025 and July 2026 with a Masters degree in a technical, or analytical-related, subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering
Must be willing to relocate to city of job location if outside commuting distance
Preferred
Helpful to understand ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP
Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
Helpful to understand distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.); implementation experience of MapReduce techniques, in-memory data processing, etc
Helpful to be familiar with cloud computing, AWS specifically, in a distributed computing context
Helpful to be able to effectively communicate and engage with a variety of partners (e.g., internal, external, technical, non-technical people)
Benefits
Travel perks
Generous time-off
Parental leave
Flexible work model
Career development resources
Hybrid work policy
Travel discounts
Medical, dental, and vision insurance options
Travel and wellbeing reimbursement
Restricted Stock Units
Employee Assistance Program and other mental health support
Wellness & travel reimbursement
International Airlines Travel Agent (IATAN) membership
Company
Expedia Group
At Expedia Group (NASDAQ: EXPE), we believe travel is a force for good – it opens minds, builds connections, and bridges divides.
Founded in 1996
10001+ employees
H1B Sponsorship
Expedia Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (519)
2024 (410)
2023 (382)
2022 (629)
2021 (483)
2020 (366)
Funding
Current Stage
Public CompanyTotal Funding
$4.25BKey Investors
TCV
2025-02-21Post Ipo Debt· $985M
2020-04-23Post Ipo Equity· $1.2B
2020-04-23Post Ipo Debt· $2B
Leadership Team
Ariane Gorin
Chief Executive Officer
Ramana Thumu
Chief Technology Officer
Recent News
2026-01-23
2026-01-22
Company data provided by crunchbase