[Skip to main content](#main-content)

[OpenNash Jobs](https://jobs.opennash.com/)
[Hiring report](/reports/hiring/) · [All Xiaomi jobs](https://jobs.opennash.com/companies/xiaomi/) · [Search jobs](/search/)

Xiaomi · 北京

# 多模态理解大模型实习生-2027届

北京 

Listed on Xiaomi ’s official careers site. Posted September 18, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/internship/position/7686713909067483418/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / 多模态理解大模型实习生-2027届

## Job description
- 深入调研多模态理解大模型、多模态推理大模型以及强化学习等方向的前沿技术;
- 深入探索多模态融合对齐策略,多模态多任务联合训练;
- 参与多模态大模型学术研究,产出具有业界行业影响力的科研成果;

## Qualifications
- 在读硕士/博士,计算机、人工智能、机器学习、电子信息、自动化、数学等相关专业,多模态大模型、计算机视觉等相关方向;
- 具备一定的多模态算法或计算机视觉实践经验,对多模态大模型算法有深入理解;
- 具备优秀的编程能力,熟练掌握PyTorch等至少一门深度学习框架,熟练掌握Python或C++等至少一门编程语言;
- 对多模态大模型、计算机视觉、深度学习等领域有比较强的兴趣；每周实习四天以上,实习四个月以上;
- 在多模态大模型、计算机视觉、深度学习等领域发表过高水平文,或参加过相关领域主流算法竞赛且取得优秀成绩者优先;
- 在ACM/ICPC、CodeForces、IOI/NOI/NOIP/CSP等编程算法竞赛中获得优秀成绩者,优先

## At a glance
- Posted by the employer: Sep 18, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 31 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/internship/position/7686713909067483418/detail)

## More jobs at Xiaomi 

### [27届招聘实习生-国际职能平台](https://jobs.opennash.com/companies/xiaomi/jobs/6d4d527313cd96474e53/)

北京

### [AI Agent 产品经理](https://jobs.opennash.com/companies/xiaomi/jobs/fc2f52865a7e2d84fbd7/)

北京

### [AI Agent 架构师 / Tech Lead](https://jobs.opennash.com/companies/xiaomi/jobs/35dcfe12c39db2a6a88a/)

北京

### [AI Agent产品经理](https://jobs.opennash.com/companies/xiaomi/jobs/1b2859d295836fa011a9/)

北京

### [AI Agent研究员实习生-小爱](https://jobs.opennash.com/companies/xiaomi/jobs/0c7ddc4025af5dc78885/)

北京

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)
