About the job
Our Search Engineering Team is responsible for building and owning TikTok's search engine which can provide our users with the best search experience. In TikTok Search Team, you’ll have the opportunity to build full-stack search engine system and combine information retrieval technology with modern machine learning methods from related fields such as NLP, CV, and recommender system. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
Participate in the improvement of the search core algorithm, possible directions include:
• Content understanding: Applying the industry's cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search.
• User Behavior Modeling: solving the recommendation problem in search, let TikTok search increase the ability of personalization on the basis of 'relevant', and understand users better.
• Video understanding: comprehensive use of NLP, CV, as well as LLM for better video understanding from the perspective of the video itself and social network, improve authority, credibility, and usefulness of search results.
Qualifications
Minimum
-Must be able to commit to a 12-week full-time work period during Summer or Fall 2026.
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Proficient coding skills and strong algorithm & data structure basis.
- Effective communication and teamwork skills.
- Experience in one or more of the following areas: NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.
Preferred
• Graduating December 2026 onwards with intent to return to degree-program after the completion of the internship.
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
• High levels of creativity and quick problem-solving capabilities.