About the job
The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. They leverage large-scale machine learning to refine search and recommendation systems, focusing on personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users. We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience.
Responsibilities
1. Participate in the improvement of the search core algorithm, possible directions include: Large Language Model Application, Content understanding/matching, User Behavior Modeling.
2. Building AI search for local service needs by deploying and posttraining LLMs, constructing robust and comprehensive RAGs.
3. 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.
4. Solving the recommendation problem in search, letting TikTok search increase the ability of personalization on the basis of 'relevant', and understand users better.
Qualifications
Minimum
• Currently pursuing a Bachelor/Master's in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Able to commit to working for 12 weeks during Summer 2026.
• Experience with coding in Python, Java, Golang, C#, or C++.
• Experience deploying, training LLMs or building LLM powered applications.
Preferred
• 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.
• High levels of creativity and quick problem-solving capabilities.