
Software Engineer Intern (Recommendation Infrastructure) - 2026 Summer (BS/ MS)
- San Jose, CA
- Training
- Full-time
- 5/11/2026
- 5/18/2026
- 5/26/2026
- 6/8/2026
- 6/22/2026We 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.
- Must be able to commit to a 12-week full-time work period during Summer 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.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- 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.