Software Engineer Intern (Recommendation Infrastructure) - 2026 Summer (Bachelor/Master)

laying a strong foundation for personal and professional growth. It runs for 12 weeks.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

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 an Undergraduate/Master 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy