The Data-Search-TikTok-Local Services team at TikTok aims to enhance local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth.
Requirements
- Experience with coding in Python, Java, Golang, C, or C++
- Experience deploying, training LLMs or building LLM powered applications
- Demonstrated software engineering or natural language processing, deep learning experience from previous internship, work experience, coding competitions, or publications
Responsibilities
- Participate in the improvement of the search core algorithm
- Large Language Model Application: Building AI search for local service needs by deploying and post-training LLMs, constructing robust and comprehensive RAGs
- Content understanding/matching: Applying the industry's cutting-edge LLM technology to match the most relevant videos for each search query, and continuously improve the understanding of queries and relevance of TikTok search
- User Behavior Modeling: solving the recommendation problem in search, letting TikTok search increase the ability of personalization on the basis of 'relevant', and understand users better
Other
- Currently pursuing a Bachelor/Master/PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Able to commit to working for 12 weeks during Summer 2026
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Graduating December 2026 onwards with intent to return to degree-program after the completion of the internship
- High levels of creativity and quick problem-solving capabilities
