The e-commerce alliance team at TikTok aims to serve merchants and creators by improving their business indicators and creative efficiency, ultimately providing high-quality content and a personalized shopping experience for TikTok users.
Requirements
- Proficient in at least one programming language: c++, python, shell, and other programming skills, with a solid programming foundation and good programming style
- Experience in algorithm development, familiar with the application and optimization of Sparse LR, DFFM, Deep&Wide, and DSSM on large-scale sparse data
- Familiar with at least one mainstream deep learning programming framework (TensorFlow/Caffe/MXNet), familiar with commonly used deep learning algorithms
- Experience in search engines, recommendation systems, and computational advertising-related fields is preferred.
Responsibilities
- Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc.
- Build machine learning solutions and algorithm strategies by the analysis and mining of a large number of user query to empower the merchant side and improve the overall matching ability 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
Other
- Able to solve problems independently, good sense of teamwork and communication skills;
