短视频推荐算法工程师-推送方向
Core
Optimize short video push timing, frequency, and content selection strategies to drive user engagement and growth across in-app, out-of-app, and message channels.
Role type
Senior IC machine-learning engineer (recommendation/push systems)
Builds
High-scale push recommendation systems serving hundreds of millions of users
Domain
Social media, short video, user growth
Deliverable
production ML models
Required skills
Reinforcement Learning, deep temporal models, DeepFM, Uplift models, Deep Retrieval, DIN, feature engineering, model architecture optimization, user interest modeling
Preferred skills
Experience in push/recommendation systems, computational advertising, search engines
Technologies
Reinforcement Learning, DeepFM, Uplift model, Deep Retrieval, DIN
Responsibilities
Optimize push timing and frequency strategies using RL and deep learning; Build and optimize recall, ranking, and aggregation models; Design push strategies for specific modules (social, live streaming, hot topics); Optimize content creative generation and copy selection; Collaborate with product and operations to define module goals and growth strategies.
Seniority
Senior, hands-on IC