Machine Learning LLM Application Intern (Global LIVE Operation Intelligence) - 2026 Start (BS/MS)

TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business.
Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

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.

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.
Successful candidates must be able to commit to at least 3 months long internship period.

Successful candidates must be able to commit to either of the following Internships

• From January to June (onboard by 12 Jan 2026)
• From May to August (onboard by 11 May 2026)

Responsibilities

• Adopt cutting-edge Large Language Models that potentially improve business metrics (revenue and content quality), bringing an optimized experience for creators and operators in the live business.
• Dive deep into machine learning methods, including large language models (LLMs), multimodal models, and image/video generation models, adapting these methods to TikTok Live scenarios and serving as foundational models and features.

Qualifications

Minimum Qualification(s)

• Currently pursuing a Master's degree in Computer Science.
• Familiarity with large language models and its applications
• Excellent problem-solving and critical-thinking skills, with a solid mathematics foundation.

Preferred Qualification(s)

• Experience with high-quality domain publications is preferred.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy

If you have any questions, please reach out to us at [email protected]