多模态大模型算法工程师（J96796）
Core
Researching breakthrough multimodal large model architectures and next-generation Agent systems to enable perception-decision-execution-evolution loops for products serving hundreds of millions of users.
Role type
Senior IC multimodal large model algorithm engineer
Builds
Multimodal large models and Agent architectures for products like Baidu Netdisk, Baidu Wenku, TeraBox, and Chengpian
Domain
Artificial Intelligence / Multimodal Learning / Reinforcement Learning
Deliverable
production ML models
Required skills
Transformer, Diffusion, Reinforcement Learning, AI Coding, Agent architecture, model training optimization, knowledge distillation, Agentic RL mechanisms
Preferred skills
Top-tier conference publications (CVPR/ACL/ICML), core contributions to open-source projects
Technologies
Transformer, Diffusion, Reinforcement Learning, AI Coding
Responsibilities
Develop multimodal large model architectures covering vision-language-audio-3D; Optimize training strategies for modality alignment and RL; Drive productization of frontier technologies; Track latest research from top conferences
