Machine Learning Engineer - TikTok Search Ranking
TikTok.com
Office
Singapore, Singapore
Full Time
About the team
The Search Ranking Team is the core algorithm team of TikTok Search business. We are responsible for optimizing user experience in the search and recommendation scenario. We have opened full-link algorithm positions such as indexing, recall, rough sorting, fine sorting, rerank, and mix-rank. Here you’ll have the opportunity to build a full-stack search engine system based on advanced AI methods to provide a world leading search engine. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
Ranking Algorithm:
1. Apply cutting-edge information retrieval and machine learning technologies to design, develop, and optimize industry-leading search and recommendation algorithms, to improve end-to-end user experience for billions of users across global platforms.
2. Participate in the optimization of trillion-scale index libraries, trillion-parameter models, ultra-long-term user job family modeling, large-scale sparse models, and many other cutting-edge research topics.
LRM (Large Recommendation Model)
1. Conduct In-depth research on next-generation ranking models powered by the world knowledge of large models, to bring revolutionary transformation to search and recommendation services.
2. Explore cutting-edge technologies including short video MultiModal Machine Learning, generative models, scaling law, sparse MoE, and reinforcement learning.
The Search Ranking Team is the core algorithm team of TikTok Search business. We are responsible for optimizing user experience in the search and recommendation scenario. We have opened full-link algorithm positions such as indexing, recall, rough sorting, fine sorting, rerank, and mix-rank. Here you’ll have the opportunity to build a full-stack search engine system based on advanced AI methods to provide a world leading search engine. We embrace a culture of self-direction, intellectual curiosity, openness, and problem-solving.
Responsibilities
Ranking Algorithm:
1. Apply cutting-edge information retrieval and machine learning technologies to design, develop, and optimize industry-leading search and recommendation algorithms, to improve end-to-end user experience for billions of users across global platforms.
2. Participate in the optimization of trillion-scale index libraries, trillion-parameter models, ultra-long-term user job family modeling, large-scale sparse models, and many other cutting-edge research topics.
LRM (Large Recommendation Model)
1. Conduct In-depth research on next-generation ranking models powered by the world knowledge of large models, to bring revolutionary transformation to search and recommendation services.
2. Explore cutting-edge technologies including short video MultiModal Machine Learning, generative models, scaling law, sparse MoE, and reinforcement learning.