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Machine Learning Engineer, TikTok Search Local Services Intern - 2025 Start

Singapore
C++ Python Java Machine Learning
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Description
About the team
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 personalized relevance, CTR/CVR prediction, and optimized conversion efficiency for billions of users.

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;
- 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
- Bachelor degree or above in the field of computer science 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

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at [email protected]
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