Machine Learning Engineer Graduate (Content Ecology) - 2025 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.





We are looking for talented individuals to join our team in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.



Successful candidates must be able to commit to one of the following start dates below:

1. January 13, 2025

2. February 3, 2025

3. March 3, 2025

4. May 19, 2025

5. June 9, 2025

6. July 14, 2025

7. August 11, 2025

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.



Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.



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:

- Develop and implement machine learning models to enhance user experience across various TikTok sub-businesses.

- Collaborate with cross-functional teams to integrate AI solutions into existing platforms.

- Conduct research and stay up-to-date with the latest advancements in AI and machine learning to continually improve our models and solutions.