美图｜多模态算法实习生 / Multimodal Algorithm Intern

岗位职责： · 前沿技术探索：跟踪多模态大模型方向的前沿技术，参与多模态内容理解任务的技术应用，持续提升模型效果； · 模型开发与应用：参与多模态大模型的结构设计、训练与微调，支持下游功能与应用开发。

任职要求： · 计算机科学与技术、人工智能等相关专业硕士或博士在读； · 有多模态、强化学习、NLP或CV相关研究或项目经验； · 对大模型及新兴技术领域有浓厚兴趣，具备较强的学习能力和研究潜力； · 具备良好的数学与编程基础，熟悉PyTorch深度学习框架； · 具备良好的沟通能力和团队协作精神。 加分项： · 在NLP、CV、ML相关核心会议或期刊发表过论文。 About This Role: We're looking for a Multimodal Algorithm Intern to join Meitu's AI team. You'll work hands-on with multimodal large models — tracking frontier techniques and applying them to real multimodal content understanding across our imaging products. What you build will shape how we improve our AI-powered tools, not sit on a shelf. What You'll Own: · Track and evaluate the latest advances in multimodal large models, and translate promising techniques into real content understanding tasks; · Contribute to multimodal large model design, training, and fine-tuning — from architecture decisions through downstream feature and application development; · Iterate systematically to improve model performance, with clear metrics and reproducible results that strengthen the team's technical foundation. What You Bring: · Currently pursuing a Master's or PhD in Computer Science, AI, or a related field; · Hands-on research or project experience in at least one of: multimodal learning, reinforcement learning, NLP, or computer vision; · Strong foundation in mathematics and programming, with working proficiency in PyTorch; · Genuine curiosity about large models and emerging AI techniques — you can quickly absorb new methods and turn them into working experiments; · Comfortable sharing research findings and collaborating with teammates to move work forward. Nice to Have: · Publications at top NLP, CV, or ML conferences or journals.