推荐算法工程师（多端电商）-抖音电商
Core
Design and optimize recommendation algorithms for e-commerce across multiple platforms (Toutiao, Xigua Video, Tomato Novel, Hongguo Short Drama) to drive user engagement, purchases, and GMV.
Role type
Senior IC recommendation algorithm engineer (multi-platform e-commerce)
Builds
Recommendation systems for short video e-commerce and live streaming e-commerce
Domain
E-commerce, multi-platform content distribution
Deliverable
production ML models
Required skills
Deep learning, Uplift modeling, Policy Learning, Reinforcement Learning, data structures and algorithms, coding
Preferred skills
Experience in recommendation systems, computational advertising, search engines
Technologies
Deep learning frameworks, Uplift modeling tools, Policy Learning libraries, Reinforcement Learning libraries
Responsibilities
Optimize full-funnel metrics (purchase days, purchase count, GMV) via recall, coarse ranking, fine ranking, and mixed ranking; Analyze traffic efficiency and allocation across scenarios; Develop strategies for user acquisition, reactivation of low-active users, and repurchase frequency for existing customers.
Seniority
Senior, hands-on IC
