Applied Science Intern - Masters

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    Expedia

    10,001+ employeesFounded 1996Austin, Texas, United StatesTravel Arrangements
    Actively hiringPaidSummer 2027Travel Arrangements
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    Best applied by Nov 4

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    About the role#

    As an Applied Science Intern, you will join our team to build and improve machine learning models that power global travel. You will work on real business priorities, from prototyping new techniques to integrating AI solutions into production systems. This internship includes mentorship, professional development workshops, and opportunities to showcase your work to senior leadership.

    What you'll do#

    • Design, prototype, and evaluate machine learning models for product-focused experiments.
    • Write clean, maintainable code for model training and inference using standard software engineering practices.
    • Perform unit testing, code reviews, and reproducible experimentation.
    • Participate in system and API design for ML-powered features.
    • Analyze and prepare data using statistical techniques, including feature engineering and error analysis.
    • Collaborate with data scientists, engineers, and product partners to define success metrics and iterate on solutions.
    • Apply AI and ML concepts to real-world products and operate integrated solutions.

    What you'll need#

    • Current enrollment in a Master’s degree program in Computer Science, Data Science, Mathematics, Physics, Statistics, Electrical Engineering, or Computer Engineering.
    • Expected graduation date between December 2027 and July 2028.
    • Availability for the full program duration: May 24th - July 30th or June 21st - August 27th, 2027.
    • Proficiency in Python, Scala, or SQL.
    • Less than 2 years of professional experience.
    • Graduation from a university located in the same country as the internship.
    • Willingness to relocate to the job location if outside commuting distance.
    • Helpful experience includes familiarity with cloud computing (AWS), distributed computing (Spark, Hadoop), and languages such as R, Java, or C++.
    • A theoretical understanding of machine learning topics like Regression, Deep Learning, Random Forests, or Neural Networks is a plus.

    Location & details#

    • Locations: Austin, Texas; San Jose, California; or Seattle, Washington.
    • Term: Summer 2027.
    • Work Modality: Hybrid.
    • Compensation: $52 per hour in Seattle and Austin; $55 per hour in San Jose.
    • Benefits: Includes medical, dental, and vision health care options, travel discounts, and relocation support if eligible.

    About Expedia

    Expedia operates a travel marketplace for booking flights, hotels, vacation packages, and car rentals. The company serves individual travelers and connects them with airlines and hotel providers. It functions as the flagship brand of Expedia Group. Founded in 1996, the organization maintains a workforce of over 10,000 employees.

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