Software Engineer Intern (Recommendation Infrastructure) - 2026 Fall (BS/MS)

Responsibilities

Team Introduction:
The Recommendation Infrastructure Team is responsible for building reliable, efficient, flexible, and generic recommendation components, systems, and platforms. Our work supports the fast iteration and incubation of TikTok's recommendation products.

We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
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 Our Company and its affiliates' jobs globally. 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).
Fall Start Dates:
August 10th, 2026
August 24th, 2026
September 8th, 2026
September 21st, 2026

Responsibilities:
This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to:
• Build and maintain high performance online services for TikTok recommendation system.
• Build extremely efficient and reliable data pipelines for candidates generation, profile generation, training examples generation, realtime online training, etc.
• Work with your mentor to build globalized large-scale recommendation system.
• Design and develop high performance computing frameworks and storage systems.

Qualifications

Minimum Qualifications:
• Must be able to commit to a 12-week full-time work period during Fall 2026
• Currently pursuing an Undergraduate/Masters degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience in programming, included but not limited to, the following programming languages: C, C++, Java or Golang.
• Effective communication skills and a sense of ownership and drive.

Preferred Qualifications:
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• Demonstrated experience in one area of the following areas: personalized recommendations, search engine, machine learning, distributed storage system, big data frameworks is a plus.