Artificial Intelligence Ecosystem Architect
14 hours ago
As a member of the TikTok team in Singapore, you will be responsible for developing and maintaining algorithms that detect risks and violations on the e-commerce platform.
We are looking for talented individuals with a strong foundation in machine learning and deep learning to join our team in 2025. Our ideal candidate will have experience with data structures and algorithms, as well as proficiency in natural language processing, computer vision, and graph algorithms.
TikTok is committed to creating an inclusive workplace where employees can bring their unique perspectives and skills. We value teamwork, communication, and continuous learning, and we offer unparalleled opportunities for growth and development.
The estimated salary range for this position is SGD $120,000 - $180,000 per annum, depending on qualifications and experience. As a successful candidate, you will have access to cutting-edge technology and tools, as well as a dynamic and supportive team environment.
This role requires a PhD in Computer Science, Engineering, or a quantitative field, and a minimum of one year of postdoctoral research experience. The ideal candidate will have published papers in top-tier conferences and have practical experience in relevant business scenarios.
About the Role
This is a full-time position based in Singapore, and we require candidates to have a current right to work in the country. If you are passionate about artificial intelligence, e-commerce, and innovation, and you are excited about the opportunity to join a dynamic and growing company, please submit your application.
Responsibilities
- Develop and maintain algorithms to detect risks and violations on the e-commerce platform
- Mine and identify algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators
- Optimize algorithms for large-scale brand libraries, products, and content deduplication/clustering
- Data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain
- Explore reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency
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