About this role
The Multimedia Data Scientist position at TikTok focuses on optimizing the app experience for users through data-driven solutions. The role involves collaboration with various teams to enhance content creation journeys, utilizing statistical models and data mining techniques to identify opportunities for personalized user publishing experiences. The ideal candidate will work in a fast-paced environment, contributing to the development of metrics and monitoring capabilities, conducting experiments, and providing actionable insights based on data analysis.
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. Watch your ambitions become 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 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
- Develop the experience metric system and the corresponding monitoring capability across different stages of creation
- Conduct experimentation, define launch standards and provide suggestions on experiment iterations
- Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement
- Use data mining for understanding user needs and build models that enable personalized publishing experience
- Work with various partners on landing solutions that meet the needs for evolving products
- Build systemic problem solving capability and research on cutting-edge methodologies
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. Watch your ambitions become 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 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
- Develop the experience metric system and the corresponding monitoring capability across different stages of creation
- Conduct experimentation, define launch standards and provide suggestions on experiment iterations
- Quantify the impact of creation tool performance on user behavior, such as publish rate, retention, and engagement
- Use data mining for understanding user needs and build models that enable personalized publishing experience
- Work with various partners on landing solutions that meet the needs for evolving products
- Build systemic problem solving capability and research on cutting-edge methodologies