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多模态算法日常实习生

Location
Beijing · Shanghai
Employment type
Intern
Multimodal

Responsibilities

、探索VLM模型MidTrain与Post-train尖端技术,深耕Reasoning RL、ThinkwithImage等方向,突破模型通用认知与推理边界 2、负责通用Agent的MidTrain与RL优化,涵盖沙盒搭建、高质量数据合成及强化学习训练,构建具备复杂任务拆解能力的Agent; 下一代AgenticAIGC系统架构; 3、探索VLM/Agent与AIGC的深度协同,定义并实现 4、跟踪业界SOTA技术,开展前瞻性研究,目标在ICLR/NeurlPS/ACL/CVPR等顶会发表高水平论文。

Requirements

希望你满足:1、2027届或2028届硕士及以上学位在读2、以一作身份在相关领域顶会发表过高质量论文或有知名实验室,项目实习经历;最好能稳定实习6个月以上; 3、有较好的编程能力,熟练使用PyTorch, Llama-Factory,Verl等训练框架

Who this role is for

27届硕博

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