推荐算法工程师-生活服务
Core
Optimize personalization recommendation algorithms for life services at a scale of billions to trillions of users, connecting people with services via short videos, live streaming, and shelf recommendations.
Role type
Senior IC machine-learning engineer (recommendation systems)
Builds
Production recommendation models and matching mechanisms for short video, live streaming, and shelf commerce
Domain
Life services / E-commerce / Recommendation Systems
Deliverable
production ML models
Required skills
Representation learning, Graph models, Deep learning, Transfer learning, Multi-task learning, Large language models, Python, C++, Go, Data analysis
Preferred skills
Experience in advertising algorithms, bidding products, supply-demand matching optimization, dispatch algorithms
Responsibilities
Analyze massive data to profile merchants and creators, optimize model strategies for better matching, build incentive-compatible matching mechanisms, improve content and merchant ecosystems