Applied Science Intern – PhD

Expedia Group

. Design, prototype, and evaluate machine learning models under the guidance of experienced machine learning scientists .

Posted 10/12/2026internshipUnited StatesEntry Level💰 $56 - $61 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Machine Learning model design, implementation, and evaluation, with a strong foundation in Python and SQL. Capable of applying statistical techniques and AI/ML concepts to real-world applications while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingMachine Learning Model EvaluationStatistical AnalysisFeature EngineeringCloud Computing (AWS)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical TechniquesData ModelingUnit TestingError AnalysisRegressionDeep LearningGradient BoostingRandom ForestsNeural Networks

Soft Skills

CollaborationCommunication

Tools & Technologies

SQLRJavaSparkHadoopMapReduceDistributed ComputingMicrosoft SQL Server

Industry Keywords

AI/ML ConceptsData PreparationModel TrainingAPI DesignReproducible Experimentation

Tech Stack

Tools & technologies

AWSCloudHadoopJavaMapReduceMS SQL ServerPythonScalaSparkSQLC++

About the role

Key responsibilities & impact

Design, prototype, and evaluate machine learning models under the guidance of experienced machine learning scientists
Contribute to well-scoped research and product-focused experiments
Implement maintainable model training and inference code using unit testing, code reviews, and reproducible experimentation workflows
Participate in low-level system design, API design, and data modeling for ML-powered features
Explore, analyze, and prepare data using statistical and machine learning techniques
Perform feature engineering and basic error analysis to improve model quality, robustness, and fairness
Collaborate with peers, mentors, data scientists, engineers, and product partners
Define success metrics and iterate on ML solutions delivering measurable impact
Apply AI/ML concepts to real-world products and safely integrate AI/ML-enabled solutions
Contribute to business-critical projects and showcase internship work to team members and senior leaders

Requirements

What you’ll need

Must be available to commit to the full program dates: May 24th – July 30th or June 21st – August 27th
Must be graduating with a PhD degree in a technical subject between December 2027 and July 2028
Technical or analytical subject such as Computer Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering, or any Engineering degree
Must be willing to relocate to the city of job location if outside commuting distance
Must have Python and/or Scala, and SQL knowledge
Must be graduating from university in the same country as the internship location
Helpful to have theoretical understanding of Regression, Naïve Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, and Neural Networks
Helpful to have experience with Python, R, SQL/Hive, and Java
Helpful to have understanding of distributed file systems, scalable datastores, distributed computing, Spark, Hadoop, MapReduce, and in-memory data processing
Helpful to be familiar with cloud computing, specifically AWS, in a distributed computing context
Helpful to have Java, R, C++, Hive, Hadoop, and Microsoft SQL Server knowledge

Benefits

Comp & perks

Health care benefits: medical, dental & vision options
Hybrid Work Policy
Travel discounts
Opportunity to receive a full-time permanent offer after graduation
12 months of customized support from the Emerging Talent & Careers team
Community support through Expedia Group’s Inclusion Business Groups
Relocation support (if eligible)
Paid time off
Employee Assistance Program
Wellness and travel reimbursement
International Airlines Travel Agent Network (IATAN) membership