推荐算法工程师-国际电商
Core
Optimizing large-scale e-commerce personalized recommendation algorithms for product, live streaming, and short video content to improve user matching efficiency and content ecosystem quality.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Production recommendation models and systems for e-commerce platforms
Domain
E-commerce, Content streaming, Machine Learning
Deliverable
production ML models
Required skills
Characteristic learning, Graph models, Deep learning, Transfer learning, Multi-task learning, User interest modeling, Potential interest prediction, C++, Python, Linux, XGBoost, TensorFlow, PyTorch, Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2Vec, Logistic Regression, GBDT, DNN, Wide&Deep
Preferred skills
Publications in top-tier ML conferences (KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys), Data mining competitions
Responsibilities
Optimize recommendation algorithms for massive user scales, Build user long/short-term interest models, Develop algorithms to identify high-quality products and anchors, Innovate models specific to content e-commerce business characteristics
Seniority
Senior, hands-on IC
