Software Engineer Intern (Data Arch - E-commerce)

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    TikTok

    Inspire creativity, bring joy.

    10,001+ employeesLos Angeles, CaliforniaEntertainment Providers
    Actively hiringPaidSummer 2027Entertainment Providers
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    Best applied by Nov 14

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    About the role#

    The E-commerce Recommendation Infra team builds and optimizes the systems that power product discovery on TikTok. We work with applied machine learning engineers to create scalable infrastructure that supports our recommendation algorithms and large-scale models. This is a paid, full-time internship for Summer 2027.

    What you'll do#

    • Build and maintain high performance online services for the TikTok recommendation system.
    • Develop efficient, reliable data pipelines for tasks like candidate generation, profile creation, and real-time online training.
    • Collaborate with your mentor to build globalized, large-scale recommendation systems.
    • Design and develop high performance computing frameworks and storage systems.

    What you'll need#

    • Current pursuit of an Undergraduate or Masters degree in Computer Science, Computer Engineering, or a related technical discipline.
    • Ability to commit to a 12-week full-time work period during Summer 2027.
    • Programming experience in C, C++, Java, or Golang.
    • Strong communication skills and a sense of ownership.
    • Demonstrated software engineering experience through past internships, work, coding competitions, or publications.
    • Experience in personalized recommendations, search engines, machine learning, distributed storage systems, or big data frameworks is preferred.

    Location & details#

    • This position is based on-site in Seattle, Washington.
    • The hourly rate for this role is $42.75.

    About TikTok

    TikTok operates as an entertainment provider. The company maintains a global presence with offices in cities including Los Angeles, Singapore, New York, London, and Tokyo. It employs over 92,000 people. The organization is privately held.

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