Machine Learning Engineer, Recommendation, E-Commerce Alliance

Description

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

Job responsibilities:
1. Build and design large-scale machine learning algorithms to model the real-time interests of creators to improve conversion efficiency
2. Optimize TikTok's massive commodity relationship mining and ranking and recall of creators' product recommendations, and improve the overall GMV of the platform
3. 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
4. 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

Minimum Qualifications
1. 3+ years of industry experience with solid theoretical foundation of machine learning;
2. Familiar with common algorithms such as matrix factorization, GBDT, LTR, Word2vec, DIN, Deep&Wide;
3. Proficient in Python and C++ languages

Preferred Qualifications
1. Proficiency in using any of the following open source tools: XGboost, TensorFlow, Caffe;
2. Have excellent learning ability and good communication and cooperation spirit.