Machine Learning Scientist Intern - Masters - 2025 - Seattle

$104,000 - $104,000/Yr

[Rh] Hotels - Seattle, WA

Full-time - Intern

Seattle, WA

Accommodation

About the position

The Machine Learning Scientist Intern position at Expedia Group is designed for master's degree students graduating in 2025. This internship offers a unique opportunity to engage in business-critical projects, develop technical skills, and gain insights into the travel industry. Interns will work on innovative machine learning techniques to enhance travel search experiences, contributing to a diverse and inclusive community while receiving mentorship and support throughout the program.

Responsibilities

• Build pipelines and prototype new ML models with A/B testing.
• Apply new techniques to services that handle high request volumes.
• Use statistical methods to make sound inferences on data and A/B tests.
• Utilize Natural Language models for Google keyword analysis and multi-objective ranking problems.
• Communicate complex analytical topics clearly to partners and senior leadership.
• Conduct feature engineering and modify existing models to meet business needs.
• Develop expertise in fraud and risk detection.
• Model online travel data to optimize business metrics and improve traveler experience.
• Frame business problems as data science problems with clear tasks.

Requirements

• Must be available for the full program dates (May 19-July 25, 2025 or June 23-August 29, 2025).
• Must be graduating with a master's degree in a technical subject between December 2025 and July 2026.
• Must be willing to relocate to the job location if outside commuting distance.
• Must have knowledge of Python and/or Scala, SQL.
• Must have no more than 2 years of professional experience.
• Must be graduating from a university in the same country as the internship location.

Nice-to-haves

• Theoretical understanding of various machine learning topics like Regression, Naïve Bayes, Deep Learning, etc.
• Experience with programming and querying languages like Python, R, SQL/Hive, Java.
• Understanding of distributed file systems and scalable datastores.
• Familiarity with cloud computing, specifically AWS.
• Ability to communicate effectively with a variety of partners.

Benefits

• Competitive compensation of $50 per hour.
• Hybrid work policy.
• Travel discounts.
• Opportunity for a full-time offer after graduation.
• Relocation support if eligible.