
Machine Learning Engineer Graduate (TikTok Local Service Search) - 2026 Start (BS/MS)
- Singapore
- Permanent
- Full-time
- 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.
- Utilize LLMs to understand users' complex local service search queries, summarize key points from numerous videos, comments, and POI reviews, and combine all those into structured AI search formats. Get involved in real-world AI applications, by building a revolutionized search experience for local service queries like destination choices, hotel searching, tourism, food & beverage reviews.Qualifications:Minimum Qualifications:
- Final year or recent graduate with a background in 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.
- 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://careers.tiktok.com/legal/privacyIf you have any questions, please reach out to us at apac-earlycareers@tiktok.com