AI/ML Software Engineer Intern (Data Platform) - 2025 Fall (BS/MS)

Team Introduction
As an AI/ML software engineer intern in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem, especially the data analysis and processing system based on AI/ML solutions utilizing large language models (LLMs). Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

We are looking for talented individuals to join us for an internship in 2025. 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. This Internship Program runs for 12 weeks beginning in August/September 2025. Successful candidates must be able to commit to one of the following Fall internship start dates below:

Monday, August 11
Monday, August 25
Monday, September 8
Monday, September 22

We will prioritize candidates who are able to commit to these start dates. Please state your availability clearly in your resume (Start date, End date).

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 early.

Responsibilities:
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business;
• Design and implement the data analysis and processing system based on AI/ML solutions utilizing large language models (LLMs);
• Design and develop high performance computing frameworks and storage systems;
• Establish solid design and best engineering practice for engineers as well as non-technical people.