岗位概述

负责多模态大模型前沿技术研究与工程落地，将多模态能力应用于内容理解、生成等场景，推动模型效果与产品体验持续提升。

本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。

职责描述

- 跟踪并探索多模态大模型方向的前沿技术，参与将相关技术应用于多模态内容理解任务

- 参与多模态大模型的结构设计、训练、微调以及下游功能与应用的开发工作

- 协助团队进行技术能力建设，持续提升模型效果

任职资格

- 计算机科学、人工智能等相关专业，硕士或博士在读

- 具备多模态/强化学习/NLP/CV 相关的研究或项目经验

- 良好的数学与编程基础，熟悉 PyTorch 深度学习框架

- 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

- 具备良好的沟通能力和团队协作精神

加分项

- 在 NLP、CV、ML 相关顶级会议或期刊发表论文

▸ Overview

You'll work at the frontier of multimodal large language models, applying cutting-edge capabilities to content understanding and generation tasks to continuously raise the bar on model performance.

This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer.

▸ Responsibilities

- Track and explore cutting-edge multimodal LLM research; apply findings to multimodal content understanding tasks

- Contribute to model architecture design, pre-training, fine-tuning, and downstream application development

- Support team capability building through ongoing experimentation and model optimization

▸ Qualifications

- Master's or PhD student in CS, AI, or a related field

- Research or project experience in multimodal learning, RL, NLP, or CV

- Solid math and programming foundations; proficiency in PyTorch

- Strong interest in large models and emerging AI; self-motivated with genuine research potential

- Team player with good communication skills

▸ Bonus Points

- Publications at top NLP, CV, or ML conferences or journals