We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. 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. The Search E-Commerce team spearheads the development of TikTok's advanced search algorithm, crucial for its booming global e-commerce platform. Utilizing state-of-the-art large-scale machine learning, along with cutting-edge NLP, CV, and multi-modal technologies, we are committed to creating a top-tier search engine. Our goal is to deliver the best e-commerce search experience to over a billion monthly active TikTok users worldwide. Our mission is to create a world where "no reasonably priced product is difficult to sell." Responsibilities: - Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. - Understand e-commerce video content and implement multi-modal matching. Improve users' perception of product authority, and deeply participate in the design and implementation of core search products. - Comprehensively improve the end-to-end shopping experience from browsing to after-sales. - Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users' personalized shopping interests model. - Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth. - Promote the healthy development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. - Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

Minimum Qualifications: - Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. - Familiar with one or more of the following areas: recommendation systems, machine learning, deep learning, data mining, computer vision, NLP, or multimodal machine learning. - Strong proficiency in Python and/or C/C++, and familiarity with a machine learning framework. Solid knowledge of data structure and algorithms. - Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data. - Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus. 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