Software Engineer Intern (Recommendation Infrastructure) - 2026 Start (PhD)

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Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Responsibilities
• Build and maintain high performance online services for TikTok recommendation system to support various types of products, such as For You Feed, E-commerce, Social, etc.
• Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc;
• Build globalized large-scale recommendation system;
• Design and develop high performance computing frameworks and storage systems.

Qualifications

Minimum Qualifications:
• Currently pursuing PhD in Computer Science or a related technical discipline
• Able to commit to working for 12 weeks during Summer 2026
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Python.
• Effective communication skills, self-driven learner, a sense of ownership
• Projects or research experienced in at least one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.

Preferred Qualifications
• Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.

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