Software Engineer Intern (TikTok Search Architecture) - 2027 Summer

About the Team TikTok Search is building the next-generation search experience for hundreds of millions of users around the world. Our team is responsible for developing and improving TikTok’s search engine, with the goal of helping users discover the most relevant, useful, and engaging content through search.

We are actively exploring how to deeply integrate traditional search engine technologies with Large Language Models (LLMs) to enhance the TikTok Search experience and pioneer new search paradigms. You will have the opportunity to work on challenging problems at the intersection of information retrieval, machine learning, natural language understanding, recommendation systems, and large-scale distributed systems.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities: - Build and optimize search systems and features that serve hundreds of millions of users globally. - Work on large-scale, complex technical problems in search quality, ranking, query understanding, retrieval, and system reliability. - Explore the integration of search engine technologies and LLMs to improve user experience and search result relevance. - Develop algorithms and systems that support next-generation search experiences and new search interaction paradigms. - Collaborate with product managers, researchers, and engineers to understand user needs and translate them into scalable technical solutions. - Apply modern machine learning, information retrieval, NLP, and LLM techniques to improve search quality and user perception.