广告算法工程师（激励方向） - Ads Core
Core
Designing and optimizing incentive mechanisms and traffic allocation in a large-scale advertising ecosystem to balance advertiser ROI, user experience, and platform revenue.
Role type
Senior IC algorithm engineer (incentive & traffic optimization)
Builds
Real-time bidding systems, incentive subsidy models, and traffic allocation mechanisms for ad products.
Domain
Digital advertising, machine learning, causal inference, and reinforcement learning.
Deliverable
production ML models
Required skills
Deep learning, reinforcement learning, causal inference, operations research, policy learning, CTR/CVR/Uplift modeling, large-scale system optimization
Preferred skills
Experience in intelligent subsidies, dynamic pricing, ad bidding, or recommendation systems
Technologies
TensorFlow, PyTorch
Responsibilities
Optimize traffic efficiency and user retention through personalized incentive modeling; iterate on bidding and strategy models to improve CTR/CVR; implement real-time decision systems for ad and marketing scenarios.
Seniority
Senior, hands-on IC
