社招推荐算法（J94625）
Core
Design and optimize core modules for a feed recommendation system serving hundreds of millions of users, focusing on author growth and content quality.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Large-scale feed recommendation algorithms and traffic distribution systems
Domain
Internet / Content Recommendation
Deliverable
production ML models
Required skills
Machine learning, Data mining, Python, C++, TensorFlow, PyTorch, PaddlePaddle, Deep neural networks
Preferred skills
Information stream recommendation, Content recommendation, Large internet company background
Responsibilities
Apply large-scale ML algorithms to user products, optimize recommendation algorithms to promote author growth, leverage deep neural networks to explore frontier recommendation technologies, analyze data to drive ecosystem health, and align recommendation algorithms with business goals to create user and commercial value.