Team Introduction
The Recommendation Infrastructure Team is responsible for building stable, 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 2025.
Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
Internships at TikTok aim 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.
This Internship Program runs for 12 weeks beginning in May / June 2025. Successful candidates must be able to commit to one of the following summer internship start dates below : Monday, May 12Monday, May 19Tuesday May 27 (Memorial Day May 26)Monday, June 9Monday, June 23 We will prioritize candidates who are able to commit to these start dates.
Please state your availability clearly in your resume (Start date, End date). 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 early.
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.
Minimum Qualifications :
- 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.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications
- Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship.
- 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.
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