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Open nowPosted 103 days ago

大模型数据工程师(autolabel)-觅蜂子公司

agirobot/campusrecruitment420 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型数据工程师(autolabel)-觅蜂子公司agirobot/campusrecruitment · Shanghai, Chinese Mainland
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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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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. agirobot/campusrecruitment 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 103 days ago

agirobot/campusrecruitment median: 1 days open

The posting

觅蜂科技(Maniformer)是全球领先的一站式物理AI数据服务平台,致力于打造具身智能数据的 “平台型供给” 基础设施,实现数据的体系化、标准化、规模化供给。

1.训练数据价值挖掘与筛选:负责多源异构训练数据的深度价值评估与智能筛选,构建面向大模型预训练与微调的数据优选体系,从海量数据中挖掘高信息密度样本。 2.数据分布洞察与训练优化:主导训练数据分布分析、长尾场景识别与稀缺数据挖掘,设计样本均衡与数据配比策略,解决数据分布不均导致的模型性能瓶颈。 3.数据-模型协同分析:构建数据特征与模型训练表现的关联分析能力,通过训练日志与数据属性关联分析,定位数据缺陷并反向驱动数据策略迭代。 4.数据挖掘工具链建设:参与数据洞察、样本检索、训练集构建等工具的开发,支持算法团队高效完成数据探索与训练数据迭代。

1.硕士及以上学历,计算机科学、人工智能、数据科学等相关专业,2026届应届毕业生; 2.理论基础扎实:深入理解机器学习、数据挖掘、统计学原理,熟悉聚类分析、异常检测、信息检索等常用方法; 3.编程与工程能力:精通Python,熟悉PyTorch/TensorFlow等深度学习框架,具备扎实的数据结构与算法基础; 4.数据敏感度:具备良好的数据直觉与问题分析能力,善于从数据分布与训练现象中发现规律、定位问题; 5.大模型数据理解:了解大模型预训练与微调的基本流程,理解数据质量、分布、多样性对模型性能的影响; 6.项目或科研经历:有数据挖掘、机器学习相关课程项目、科研经历或竞赛经验(如Kaggle、天池等)。

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