
Backend Engineer Intern (TikTok Glocal Ecommerce Recommendation Architecture) - 2026 Start (BS/MS)
- Singapore
- Training
- Full-time
Successful candidates must be able to commit to at least 3 months long internship period.Responsibilities
- 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.
- Build globalized large-scale recommendation systems.
- Design and develop high performance computing frameworks and storage systems.Qualifications:Minimum Qualifications:
- Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major.
- Experience programming in at least one of the following programming languages: C, C++, Java or Golang.
- Effective communication skills and a sense of ownership and drive.Preferred Qualification:
- 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.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/privacyIf you have any questions, please reach out to us at apac-earlycareers@tiktok.com