Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency
Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
Use the large scale of data to deeply analyze the behavior of creators and merchants and build targeted algorithm strategies to empower creators and merchants, improve merchants' monetization efficiency, and boost industrial upgrading
Support the rapid development of TikTok's e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development
Requirements
3+ years of industry experience with solid theoretical foundation of machine learning;
Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide
Proficient in Python and C++ languages
Preferred
Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe;
Have excellent learning ability and good communication and cooperation spirit.
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