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Open nowPosted 79 days ago

【2027 届校招】数据算法工程师

nwd4iy9rd2s/campusofspiritai55 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now【2027 届校招】数据算法工程师nwd4iy9rd2s/campusofspiritai · Beijing, 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. nwd4iy9rd2s/campusofspiritai postings stay open a median of 4 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 79 days ago

nwd4iy9rd2s/campusofspiritai median: 4 days open

The posting

1. 数据质检/清洗链路研发：负责多模态（视觉、触觉、语言、Action）数据的清洗算法研发，包括异常数据剔除、低质量数据拦截，隐私脱敏、时空对齐等。 2. 预标注模型研发：研发具身领域的预标注大模型，解决具身领域细粒度标注难题，提升数据生产效率。 3. 数据去重与挖掘：实现基于视觉+动作+语义的高效去重算法；开发核心场景的数据挖掘脚本，从海量原始数据中筛选出高价值、高复杂度的样本。 4. 多样性分析与可视化：构建数据分布的统计与可视化工具，量化分析数据的多样性指标，为数据采集策略提供依据。

1. 专业背景：本科及以上学历，计算机或相关专业，具备良好的数学基础和逻辑思维能力。 2. 代码能力：熟练掌握Python，熟悉PyTorch/TensorFlow等深度学习框架；同时熟练掌握vibe coding工具，有很强的算法设计思维，能独立完成算法模块的开发与部署。 3. 领域技能：熟悉VLM/VLA领域最新技术，有相关领域数据管线上的算法落地经验，有很强的数据问题分析能力，具有业务上的自闭环能力。 4. 加分项：对机器人、具身智能充满热情，有相关论文产出，数据竞赛获奖经历或开源数据集贡献优先。

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