Applied Science Intern — Build ML Models for Global Travel

Expedia, Inc.; San Jose, Northern (CA, KY); Hybrid; USD 65,000 - 87,000; Full time

Benefits offered by this job

Mentorship program

Relocation support

Job summary

Expedia Group’s Global Summer Internship Program invites students to join as Applied Science Interns in San Jose. You will be fully integrated into our inclusive community and work on business-critical projects, developing skills through tailored learning and mentorship.

You’ll join teams to prototype ML models, run experiments, and contribute to real-world travel tech solutions, with structured onboarding, cohort orientation, and leadership exposure throughout the program.

Qualifications

• Must have Python and/or Scala, SQL knowledge.
• Must be available for May 24–July 30, 2027.
• Must be graduating with a Master’s degree in a technical subject between December 2027 and July 2028.
• Must be willing to relocate to the city of internship.
• Must have no more than 2 years of professional experience.
• Must be graduating from university in the same country of internship location.

Responsibilities

• Design, prototype, and evaluate ML models under guidance.
• Implement clean training and inference code with unit tests.
• Contribute to API design and data modeling for ML features.
• Explore, analyze, and prepare data using basic statistical/ML methods.
• Collaborate with peers to define success metrics and iterate on ML solutions.
• Learn to work with AI-driven systems and apply AI/ML concepts to real products.

Skills

Python

Scala

SQL

Relocation willingness

CS/technical background

Education

Master’s degree in technical subject

Job description

Expedia Group’s Global Summer Internship Program invites students to join as Applied Science Interns in San Jose. You will be fully integrated into our inclusive community and work on business-critical projects, developing skills through tailored learning and mentorship.

You’ll join teams to prototype ML models, run experiments, and contribute to real-world travel tech solutions, with structured onboarding, cohort orientation, and leadership exposure throughout the program.