推荐算法工程师-火山引擎
Core
Optimize large-scale ad recommendation systems and explore frontier technologies for model estimation in high-traffic scenarios.
Role type
Senior IC recommendation algorithm engineer (advertising)
Builds
Large-scale ad recommendation engines, streaming ML frameworks, and offline computing systems
Domain
Advertising, Recommendation Systems, Large-scale Deep Learning
Deliverable
production ML models
Required skills
Deep learning algorithms (CNN/RNN/LSTM/RL/Transformer), Large-scale Sparse & Dense models, AutoML, Multi-task learning, Learning to rank, Sequence modeling, Large-scale deep models, C++, Python, TensorFlow, PyTorch, Linux
Preferred skills
Experience in recommendation, advertising, or information retrieval
Responsibilities
Optimize ad recommendation systems for deep conversion goals and content ranking, Research and apply frontier technologies like pre-trained models, Collaborate with engineering teams to develop large-scale recommendation engines and streaming ML frameworks
