Applied Science Intern: ML Research & Prototyping

Expedia, Inc.; Austin (TX); Hybrid; USD 64,000 - 91,000; Full time

Benefits offered by this job

Health care benefits

Hybrid Work Policy

Travel discounts

Relocation support (if eligible)

Full-time permanent offer potential

Job summary

Expedia Group invites applications for the Global Summer Internship Program as an Applied Science Intern. You will join teams to prototype ML models, conduct research experiments, and translate data requirements into production-ready solutions.

You will participate in mentoring, tailored learning, and intern-specific events while contributing to real business priorities and gaining exposure to leaders within Expedia Group.

Qualifications

• Must be available to commit to the full program dates: May 24th – July 30th
• Must be graduating with a PhD degree in a technical subject between December 2027 and July 2028
• Must be willing to relocate to city of job location if outside commuting distance
• Must have Python and/or Scala, SQL knowledge
• Must be graduating from university in the same country of internship location
• Helpful to have theoretical understanding various machine learning topics like Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks
• Helpful to have experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
• Helpful to have understanding of 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)
• Helpful to have Java, R, C++, Hive, Hadoop, Microsoft SQL Server knowledge

Responsibilities

• Design, prototype, and evaluate machine learning models under the guidance of more experienced machine learning scientists, contributing to well-scoped research and product-focused experiments.
• Implement clean, maintainable model training and inference code using standard software engineering practices, including basic unit testing, code reviews, and reproducible experimentation workflows.
• Participate in low-level system design, API design, and data modeling for ML-powered features, learning how to translate product and data requirements into robust, production-aware ML solutions.
• Explore, analyze, and prepare data using fundamental statistical and ML techniques to improve model quality, robustness, and fairness, including feature engineering and basic error analysis.
• Collaborate with peers, mentors, data scientists, engineers, and product partners to understand problem spaces, define success metrics, and iterate on ML solutions that deliver measurable impact across different product domains.
• Learn to work with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML-enabled solutions that improve outcomes within defined guidance and scope.

Skills

Python

Scala

SQL

Java

R

Education

PhD in technical subject

Tools

Hive

Hadoop

Spark

Job description

Expedia Group invites applications for the Global Summer Internship Program as an Applied Science Intern. You will join teams to prototype ML models, conduct research experiments, and translate data requirements into production-ready solutions.

You will participate in mentoring, tailored learning, and intern-specific events while contributing to real business priorities and gaining exposure to leaders within Expedia Group.