Expedia Group · 1 month ago
Machine Learning Scientist III
Washington - Seattle Campus
Full-time
Onsite
Senior Level
$138K/yr - $220K/yr
6+ years expExpedia Group is a company that powers global travel for everyone, everywhere, focusing on innovative technology solutions. The Machine Learning Scientist III will contribute to automation products by advancing machine learning methodologies and tackling complex business challenges, while collaborating with cross-functional teams to drive growth for the company's consumer brands.
CommunitiesInternetReservationsTask ManagementTechnical SupportTicketingTourismTransportationTravel
Responsibilities
You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline
You will work on advanced GenAI models (LLMs) to drive marketing content optimization, leveraging cutting-edge technology to enhance content relevance, improve engagement, and streamline processes for better business outcomes
You will apply an understanding of supervised and unsupervised machine learning theory
You will tackle business problems by applying fundamental machine learning models, algorithms and techniques using standard libraries
You will modify/adapt models and techniques to suit business needs
You will independently conduct proper model performance evaluation without help
You will build an end-to-end design of one step model based on detailed understanding of business requirements, including approach, choice of algorithm and data sources
You will seek relevant academic papers and experience to point out strengths and weaknesses of current models and recommend more sophisticated designs when needed
You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution
You will communicate a compelling rationale and narrative to peers and partners
You will influence action and results through writing clearly in an accessible way for a wide audience. Anticipate questions, structuring presentations around a clear narrative, and is concise in what's included. Present clearly and engagingly
You will frame challenging business problems as a data science problem and concrete set of tasks
You will leverage others’ skills, knowledge, and expertise effectively in problem solving and delivering impact
You will manage stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises
You will manage the backlog well, including across large cross-functional teams. Deliver projects to maximize business impact coordinated with wider business timing
Qualification
Required
Bachelor's or master's degree in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar
6+ years of experience in industry or equivalent
Strong proficiency with Python / R and SQL
Demonstrated ability to build and maintain multiple data science project/product in production environments
Extensive experience one or more of the following: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis
Record of accomplishment for executing independent projects and leading complex, multi-functional projects with several dependencies
You understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, data modeling, and AI/ML algorithms; strong data science knowledge and skills
You have working and/or theoretical knowledge on NLP and Transformers
Advanced proficiency in GitHub for collaborative development and version control
Proficient in cloud computing, specializing in big data applications and leveraging MLOps for streamlined machine learning model deployment
You have proven knowledge of ML techniques such as Neural Networks, XGBoost, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods
You have a passion for solving problems and finding patterns and insights within structured and unstructured data
Benefits
Medical/dental/vision
Paid time off
Employee Assistance Program
Wellness & travel reimbursement
Travel discounts
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.
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
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2026-01-07
2026-01-07
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