推荐算法工程师-国际电商
Core
Optimizing large-scale e-commerce personalized recommendation algorithms for Feeds, live streaming recommendations, new user onboarding, cold starts, and long-term value modeling.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Recommendation systems for e-commerce feeds and live streaming platforms
Domain
E-commerce, Content streaming
Deliverable
production ML models
Required skills
Deep learning, Characteristic learning, Transfer learning, Multi-task learning, Collaborative filtering, Matrix factorization, Factorization machines, Word2vec, Logistic regression, GBDT, DNN, Wide&Deep
Preferred skills
C++, Python, Linux, XGBoost, TensorFlow, PyTorch, Academic publications in top ML conferences, Data mining competitions
Technologies
C++, Python, Linux, XGBoost, TensorFlow, PyTorch
Responsibilities
Optimize recommendation algorithms for massive user scales, Build models for long-term user value and interest prediction, Develop algorithms to automatically identify high-quality products and anchors, Innovate models specific to content e-commerce business characteristics
Seniority
Senior, hands-on IC
