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About the Role

As a Machine Learning Scientist III within the Machine Learning Science organization, you will help build a scalable, intelligent pricing system that directly shapes how Expedia Group balances volume and profitability across multiple lines of business. This role involves tackling end-to-end pricing problems and contributing to active scientific research in causal inference, mixed integer programming, and ML-based demand estimation.

Responsibilities

Design, build, and improve ML models and systems that power Expedia Group products, with a focus on measurable business and customer impact.
Perform end-to-end model development, including problem formulation, data exploration, feature engineering, training, evaluation, and deployment in production environments.
Develop robust data pipelines, data transformations, and data quality checks to ensure high-quality input signals for ML models and experimentation.
Partner with product, engineering, and analytics teams to translate business problems into ML solutions, define success metrics, and run experiments to validate impact.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Contribute to system design (including model-serving APIs and supporting data models), documentation, and best practices that enable reuse and scalability across multiple product domains.

Requirements

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
5+ professional years of experience as a Machine Learning Scientist or in a similar applied ML role, working on end-to-end model development and deployment in real-world products.
Proficiency in at least one programming language commonly used for ML (such as Python) and experience working with data processing frameworks, model training libraries, and model evaluation techniques.
Experience owning ML components or services in production, including monitoring model performance, maintaining data pipelines, and collaborating with engineering teams on APIs and data models.
Advanced degree (master’s or PhD) in a quantitative discipline (e.g., Engineering, Statistics, Economics, or related fields).
Experience working on pricing, revenue optimization, marketplace dynamics, or similar business problems.
Experience designing and analyzing experiments (e.g., A/B testing) and working with noisy or incomplete data.
Experience building ML models using user behavior, segmentation, or contextual signals.
Familiarity with causal inference methods or optimization techniques (e.g., mixed-integer programming) in applied settings.

Skills

Python
Data processing frameworks
Model training libraries
Model evaluation techniques
AI/ML concepts
Causal inference
Mixed integer programming
ML-based demand estimation
A/B testing

Location

Seattle
Austin

Work Type

Full-time

Experience Level

5+ years
Machine Learning Scientist III

Education Level

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related technical field
Master's degree
PhD

Salary/Compensations

$137,500.00 - $192,500.00
Potential to increase pay up to $220,000.00 based on performance

Benefits

Medical coverage
Dental coverage
Vision coverage
Paid time off
Employee Assistance Program
Wellness reimbursement
Travel reimbursement
Travel discounts
International Airlines Travel Agent Network (IATAN) membership

About the Company

Expedia Group helps travelers explore the world, one journey at a time.
Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
Across its brands and business, Expedia Group helps travelers explore the world with confidence and ease.

Equal Opportunity

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, veteran status, or any other characteristic protected by law.
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.