Machine Learning MLOps Intern

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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 monetization technology team builds and runs large-scale, globally distributed, fault-tolerant ads systems. As an intern, you will help keep these systems running with high availability. This role offers hands-on experience and the opportunity to apply your knowledge to real-world challenges in a professional setting.

    What you'll do#

    • Define and drive Service Level Objectives (SLOs) for online machine learning inference systems to ensure reliability and performance.
    • Maintain the operational excellence of offline machine learning training pipelines and improve job success rates.
    • Manage infrastructure capacity and resource planning for machine learning workloads, including the optimization of GPU and CPU utilization.
    • Deploy new machine learning frameworks and GPU platforms while maintaining model quality.
    • Build and maintain MLOps platforms and automation tools, including job diagnostics, monitoring, and resource management.

    What you'll need#

    • Currently pursuing a Bachelor’s degree in Computer Science or a related field.
    • Proficiency in Linux operating systems, networking, and storage.
    • Programming experience in Python, Go, C, C++, or Java.
    • Experience with production operations or troubleshooting application issues.
    • Strong communication skills and a sense of ownership.
    • Previous SRE internship experience in large-scale advertising, recommendation, search systems, or cloud platforms is preferred.

    Location & details#

    • Location: San Jose, California, United States.
    • Term: Summer 2027.
    • Modality: On-site.
    • Compensation: $45 - $60 per hour.
    • Status: Paid, full-time internship.
    Relevant fieldsComputer Science

    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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