
Backend Engineer Intern (TikTok Recommendation Foundation Infrastructure) - 2026 Start (BS/MS)
- Singapore
- Training
- Full-time
Successful candidates must be able to commit to at least 3 months long internship period.Responsibilities
- Design intelligent development toolkits for large-scale recommendation systems, providing tooling and productized solutions to enhance R&D efficiency.
- Develop business metrics-driven gray release systems to ensure safe, stable, and efficient release strategies and workflows.
- Enhance observability of recommendation systems in complex global environments (multi-region, multi-data center, multi-language), establish end-to-end tracing systems, and optimize issue attribution mechanisms.
- Build algorithm engineering toolchains to accelerate the end-to-end process from experimental algorithm/model development to deployment, improving iteration efficiency.
- Overhaul platform ecosystem architectures and develop data intelligence assistants.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 Qualifications:
- Agile, quick self learner, highly self-motivated with a strong sense of product ownership and creative problem solver.
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.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