Job Description

Team Introduction:

TikTok's Content Ecosystem team is responsible for the health and prosperity of content users and creators to improve DAU in the long term. Our team deeply dives into the following fields: tracking the whole content ecosystem and finding potential challenges and opportunities; cooperating closely with the RD team on model recognition, content understanding, and algorithms, targeting to balance the traffic in different formats, optimize traffic distribution, content diversifications, creator experience of moderation, user experience of interactions, and more problems.

We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.

Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

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 as early as possible. Please state your availability clearly in your resume (Start date, End date)

Summer Start Dates:

- May 11th, 2026

- May 18th, 2026

- May 26th, 2026

- June 8th, 2026

- June 22nd, 2026

Responsibilities:

- Responsible for the governance of TikTok short videos or comment ecosystem, with a deep understanding of content, business data, and user needs, and the establishment of a governance evaluation framework.

- Analyze and identify new, complex, and high-impact content risks faced by the platform through a combination of qualitative analysis and data-driven methods, turning ambiguous signals into clear problem statements and measurable goals.

- Explore and apply large language models (LLMs) and other AI techniques to enhance content understanding and risk identification, and translate model insights into scalable governance strategies and operational workflows.