Software Engineer Intern (Recommendation Architecture, Feeds Infrastructure) - 2027 Fall

TikTok Inc.; San Jose (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

TikTok Inc. is seeking interns for the Video team to contribute to the development of a globalized, large-scale recommendation system and robust data pipelines.

You will work on end-to-end processes from candidate generation to online inference, delivering high-frequency personalized content. Ideal candidates are currently pursuing CS degrees, have strong programming skills in C/C++/Java/Golang, and demonstrate ownership, communication, and drive.

Qualifications

• Pursuing a Bachelor's degree in Computer Science or a related technical discipline.
• Experience in programming languages: C, C++, Java or Golang.
• Effective communication skills and a sense of ownership and drive.

Responsibilities

• Build globalized large-scale recommendation system.
• Build extremely efficient and reliable data pipelines for candidates generation, ranking system, profile generation, training examples generation, realtime online training, etc.
• Coach AI to perform release process and production operations, including online anomaly detection and diagnose, release safeguards, etc.

Skills

Communication

Ownership

Drive

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

C

C++

Java

Golang

Job description

Responsibilities

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.

We are looking for talented individuals to join us for an internship. 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 system;
• Build extremely efficient and reliable data pipelines for candidates generation, ranking system, profile generation, training examples generation, realtime online training, etc;
• Coach AI to perform release process and production operations, including online anomaly detection and diagnose, release safeguards, etc.

Qualifications

Minimum Qualification(s)

• Currently pursuing a Bachelor's degree in Computer Science 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.

Preferred Qualification(s)

• Currently pursuing a Master's degree in Computer Science or a related technical discipline.
• Experience in AI coding is a plus.