Machine Learning Engineer Graduate Short Video Content Ecology - 2026 Start (PhD)

The Content Ecology team aims to leverage AI and machine learning algorithms to build a suite of strategic models and platform solutions that enhance user experience across various sub-businesses under the short video business line.

Our focus areas include:
- TikTok Intelligent Customer Service: Utilizing large language models to address intelligent customer service and commercial customer service challenges.
- TikTok Local Services: Employing multimodal understanding technologies to solve content understanding and governance issues in local services.
- TikTok Search: Applying AI capabilities to provide hot event/topic discovery, event extraction, and summarization for the search business line.
- TikTok Creator Understanding: Developing multimodal creator modeling and profiling capabilities to support downstream recommendation, search, and content safety applications, enhancing the platform’s understanding of creators’ behavior, styles, and influence.
- Agentic LLM Applications: Building agent-style LLM systems that can autonomously plan, act, and interact to solve complex user and business problems across domains such as customer service, search, and creator tools.

We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.

Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis - we encourage you to apply early.