✦ Luna Orbit — AI & Machine Learning

Machine Learning Science Intern - PhD - 2026 - Austin, San Jose

at Expedia Group

📍 2 Locations Hybrid 💰 $56 – $56 USD / year Posted March 24, 2026
Salary $56 – $56 USD / year
Type Internship
Experience intern
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This internship offers a hands-on opportunity to work on machine learning projects within Expedia Group, focusing on developing AI models to enhance travel experiences.

  • Develop machine learning models
  • Analyze travel data
  • Implement deep learning frameworks
  • Collaborate with data scientists
  • Support AI research projects

The role involves applying machine learning techniques using Python, TensorFlow, and PyTorch to analyze travel data, build models, and support AI-driven solutions.

The ideal candidate is a PhD student or candidate in machine learning or data science, with strong programming skills in Python and experience with deep learning frameworks like TensorFlow or PyTorch. They are eager to contribute to cutting-edge AI projects during their internship.

Machine LearningPythonData ScienceData Analysis
Deep LearningTensorFlowPyTorchModel DevelopmentData Engineering
TensorFlowPyTorchPython
Machine LearningPythonData ScienceDeep LearningTensorFlowPyTorchData AnalysisStatisticsModel DevelopmentData Engineering
Machine LearningPythonData ScienceDeep LearningTensorFlowPyTorchData AnalysisStatisticsModel DevelopmentData Engineering
CommunicationTeamworkProblem-solvingAdaptabilityLearning mindset
Industry Travel & Hospitality Technology
Job Function Supporting AI and machine learning research and development
Role Subtype Data Scientist Intern
Tech Domains Python, TensorFlow, PyTorch, Data Science, Machine Learning
machine learningpythondata sciencedeep learningtensorflowpytorchdata analysisstatisticsmodel developmentdata engineeringinternshipaidata science internshipmachine learning internpython programmingdata analysis skillsdeep learning frameworks

Lack of Python or machine learning experience, No relevant academic background, Unwilling to work in hybrid locations, No interest in AI research

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