国际化广告算法工程师-Ranking(北京/上海/杭州)
Core
Design and optimize industrial-scale deep learning ranking architectures for international advertising campaigns to maximize monetization efficiency and user experience.
Role type
Senior IC machine-learning engineer (advertising ranking)
Builds
End-to-end large-scale advertising systems (recall, coarse ranking, fine ranking) for international business
Domain
Internet advertising, deep learning, causal inference, multi-modal learning
Deliverable
production ML models
Required skills
Deep learning, C++, Python, distributed computing, Hadoop, Spark, TensorFlow, PyTorch, causal inference, sequence modeling, reinforcement learning
Preferred skills
Top-tier conference publications (KDD, AAAI, CIKM, WWW, RecSys, NeurIPS, ACL, EMNLP), Kaggle/ACM competition awards
Responsibilities
Research and improve deep learning ranking architectures; Optimize full-link advertising systems from recall to fine ranking; Innovate algorithms using causal inference, sequence modeling, and reinforcement learning to solve long-term bottlenecks
Seniority
Mid-level, hands-on IC
