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

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

Meituan · 北京市 +1 more

# 【无人车北斗实习】前馈式3D重建实习生

北京市 +1 more 

Listed on Meituan ’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.
[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4501193441)

[OpenNash Jobs](https://jobs.opennash.com/) / [Meituan ](https://jobs.opennash.com/companies/meituan/) / 【无人车北斗实习】前馈式3D重建实习生

## Job description

【工作内容】
- 探索前馈式3D重建模型在大规模真实驾驶数据上的训练策略与泛化能力提升方法
- 参与数据预处理管道建设，优化大规模训练的工程效率与资源利用率
- 对重建质量进行系统性评估，输出模型迭代方案并推动应用落地 【岗位吸引点】

### 大规模真实驾驶数据
- 美团 RoboVan 在多城市持续采集物流场景数据，为前馈式重建模型的训练与泛化提供充足且多样的真实数据

### 应用驱动的研究闭环
- 重建能力直接服务于高精地图生成与仿真场景构建，研究成果有明确的业务价值出口

### 基础设施完善
- 团队具备成熟的大规模分布式训练平台与数据工程体系，实习生可专注于算法本身而非工程搭建
- 具有前馈式3D重建模型的实际训练经验（实习或科研均可），熟悉主流重建框架
- 理解三维场景重建的核心技术原理，有处理大规模真实数据集的经验
- 有相关领域 CCF-A 类论文发表者优先考虑

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: Under a day
- Location: 北京市 +1 more[Apply on Meituan ’s careers site →](https://zhaopin.meituan.com/web/position/detail?highlightType=campus&jobUnionId=4501193441)

## More jobs at Meituan 

### [Keeta - 体验AI产品经理](https://jobs.opennash.com/companies/meituan/jobs/c41d7970dcabbffd445b/)

北京市 +1 more

### [Keeta-体验治理产品经理](https://jobs.opennash.com/companies/meituan/jobs/9cd265c7ddf5a2194cdf/)

北京市 +1 more

### [Keeta-客服产品经理](https://jobs.opennash.com/companies/meituan/jobs/cf866711088d3c494eaa/)

北京市 +1 more

### [Keeta-用户增长产品经理（老客提频）](https://jobs.opennash.com/companies/meituan/jobs/1ded1225eb4c9fb49f9d/)

北京市 +1 more

### [Keeta-营销平台产品经理](https://jobs.opennash.com/companies/meituan/jobs/2ada878e23048cd7c7a3/)

北京市 +1 more

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/)
