资深推荐/广告算法工程师-Data（北京/深圳/杭州）
Core
Develop and optimize recommendation and advertising algorithms for billion-scale daily active user scenarios, focusing on deep conversion modeling, ad content ranking, and multi-scenario recommendation.
Role type
Senior IC recommendation/advertising algorithm engineer
Builds
Large-scale recommendation engines, streaming machine learning frameworks, and offline computing systems for ad delivery
Domain
Internet / Advertising & Recommendation Systems
Deliverable
production ML models
Required skills
Recommendation algorithms, Deep learning (CNN/RNN/LSTM/Transformer), Large-scale Sparse & Dense models, AutoML, Multi-task learning, Learning to Rank, Sequence modeling, Large pre-trained models, C++, Python, TensorFlow, PyTorch, Linux
Preferred skills
Experience in information retrieval, Large-scale deep model training on high compute resources
Responsibilities
Optimize ad recommendation systems for deep conversion goals, Research and solve optimization problems in large-scale ad systems (e.g., ID generalization, coarse-fine ranking consistency), Explore and apply frontier technologies to model estimation, Collaborate with engineering teams to deploy algorithmic components in complex scenarios
