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 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. Responsibilities: 1. Support the local video service business to enhance user discovery of life services such as hospitality, dining, and leisure. 2. Improve the search experience in local services and promote ecosystem growth. 3. Utilize large-scale machine learning techniques in search and recommendation scenarios with billions of users to: Improve user shopping experiences & Enhance conversion efficiency. 4. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking. Personalized behavior modeling for relevance computation. CTR (Click-Through Rate) prediction, CVR (Conversion Rate) prediction. Vector recall and value blending.

Minimum Qualifications 1. Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Excellent analytical and problem-solving skills. 3. Strong foundation in machine learning and deep learning, with experience in: NLP (Natural Language Processing). Personalization. 4. Exceptional coding skills with solid knowledge of data structures and algorithms. 5. Proficiency in Linux development environments. Preferred Qualifications 1. Prior experience in search, recommendation, or advertisement algorithms. 2. Familiarity with local life services and e-commerce businesses. 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