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Open nowPosted 331 days ago

【实习】预训练算法实习生

dx3a2bminsq/93464718 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now【实习】预训练算法实习生dx3a2bminsq/934647 · Shenzhen, Guangdong, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. dx3a2bminsq/934647 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 331 days ago

dx3a2bminsq/934647 median: 1 days open

The posting

1、协助预训练算法团队进行具身智能基础模型(VLA、世界模型等)的预训练实验,包括数据准备、训练任务执行、超参数调优及结果分析; 2、参与大规模分布式训练任务的搭建与运维,协助排查训练过程中的收敛异常、资源调度等问题; 3、参与多模态数据的预处理与数据加载优化,支持图像、视频、点云、触觉等多源数据的高效接入; 4、协助复现顶会论文中的关键算法,进行对比实验与效果验证,为团队技术选型提供参考; 5、跟踪具身智能、多模态大模型等领域的前沿进展,完成文献调研与技术总结; 6、参与训练框架的优化与工具链建设,提升模型训练效率与实验可复现性; 7、协助撰写实验报告与技术文档,沉淀实验经验与最佳实践。

1、计算机、人工智能、自动化、机器人等相关专业硕士或博士在读; 2、熟悉深度学习基础理论,了解Transformer、扩散模型等主流架构的基本原理; 3、熟练掌握Python及PyTorch,具备良好的代码习惯与工程能力; 4、了解分布式训练基本概念,有DeepSpeed、Megatron或FSDP等框架使用经验者优先; 5、有大规模数据处理或数据加载优化经验者优先; 6、具备较强的学习能力与自驱力,能够快速理解前沿论文并复现关键方法; 7、有良好的沟通协作能力,能够与算法、数据、工程团队高效配合; 8、每周至少到岗4-5天,能连续实习3个月以上; 9、在CVPR、ICCV、NeurIPS、ICLR、RSS、CoRL等顶会发表过论文者优先; 10、有具身智能、机器人或大模型预训练相关项目经验者优先。

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