机器学习/自然语言处理/多模态算法工程师（J79175）
Core
Train and optimize ad conversion quality estimation models and develop core algorithms for data cleaning, attribution, and filtering within Baidu's ad search and commercial systems.
Role type
Senior IC machine-learning engineer (ad conversion, NLP, multi-modal)
Builds
Ad conversion quality estimation models, commercial risk control strategies, and data mining applications for ad targeting and creative optimization.
Domain
Online advertising, commercial risk control, large-scale data mining
Deliverable
production ML models
Required skills
C/C++, Python, Linux/Unix development, representation learning, graph models, transfer learning, multi-task learning, multi-modal fusion
Preferred skills
Ad strategy algorithms, content understanding, NLP, large-scale data mining, AIGC large model applications
Technologies
C/C++, Python, Shell, Linux, graph models, multi-modal fusion
Responsibilities
Train and optimize ad conversion quality estimation models; develop algorithms for data cleaning, attribution, and filtering; build data mining strategies for ad targeting and creative optimization; implement commercial risk control models to identify potential risks; research and apply AIGC and data mining technologies to solve business pain points.
