Software Engineer Intern (Recommendation Architecture, Feeds Infrastructure) - 2027 Fall
About the Team
The TikTok Video team works on the systems behind the For You Feed, TikTok’s personalized recommendation experience. We operate at the intersection of machine learning and large-scale systems, designing and operating the end-to-end pipeline—from offline training data orchestration to real-time online inference—that delivers seamless, high-frequency discovery to over a billion users.
Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Responsibilities
- Build globalized large-scale recommendation systems.
- Build extremely efficient and reliable data pipelines for candidates generation, ranking system, profile generation, training examples generation, real-time online training, etc.
- Coach AI to perform release process and production operations, including online anomaly detection and diagnosis, release safeguards, etc.
Qualifications
Minimum Qualifications
- Currently pursuing a Bachelor's degree in Computer Science or a related technical discipline.
- Experience in programming, including 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
- Currently pursuing a Master's degree in Computer Science or a related technical discipline.
- Experience in AI coding is a plus.
Pay
The hourly rate for this position is $42.75.
Benefits
- Day one access to health insurance, life insurance, and wellbeing benefits.
- 10 paid holidays per year.
- Paid sick time (56 hours if hired in the first half of the year, 40 if hired in the second half).
- Eligibility for housing allowance (for interns not working 100% remote).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.