Machine Learning Engineer Intern (TikTok Local Services Search) - 2026 Start (BS/MS)

Team Introduction

Our Search 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 relevance and query understanding improvement by LLM, CTR/CVR prediction, and optimize LLM powered local service formats in search. 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. Responsibilities - Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure. - Improve the search experience in local services and promote ecosystem growth. - Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency.

Minimum Qualifications: - Undergraduate or Postgraduate currently pursuing a Degree/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Proficient coding skills and strong algorithm & data structure using C++/Python/Java. - Have a solid knowledge of machine learning and practical experience in applying it. Preferred Qualifications: - Effective communication and teamwork skills. - Modeling experience in one or more of the following areas: Ads, Search engine, Recommender System, NLP/CV. - Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal/multi-modal LLM application and deployment. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https:///legal/privacy If you have any questions, please reach out to us at