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Open nowPosted 171 days ago

数据解决方案架构师(具身智能前沿算法方向)

agirobot/referral515 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now数据解决方案架构师(具身智能前沿算法方向)agirobot/referral · Shanghai, Chinese Mainland
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 171 days ago

agirobot/referral median: 1 days open

The posting

  • 深度嵌入算法前沿:作为公司在客户侧的核心技术代表,深度嵌入客户具身智能(VLA/世界模型等)的研发流程。与对方算法科学家、模型训练负责人直接对话,准确理解其模型演进对数据的核心诉求。
  • 前沿数据方案设计:针对具身智能复杂的多模态数据(视觉、语言、本体状态、力觉等)和时序要求,主导设计涵盖全场景遥操作/无本体采集、端到端数据标注、仿真合成数据及数据对齐的完整解决方案。
  • 数据评测与反馈闭环:结合具身智能算法的评估指标,设计并完善数据质量评测体系。通过bad case分析,反推数据采集规范与标注规则的迭代,帮助客户实现模型能力的快速爬坡。
  • 端到端项目攻坚:作为前端技术侧的“需求一号位”,拉通内部的采集团队、标注产线和研发团队,端到端推进定制化数据方案的高质量交付,确保订单闭环。
  • 行业know-how沉淀:敏锐捕捉行业前沿趋势,将服务头部客户的经验抽象、沉淀为公司级的具身数据产品标准,推动内部数据工具链(如多模态对齐工具、4D标注工具)的迭代。
  • 专业背景:硕士及以上学历,计算机、人工智能、机器人、自动化等相关专业优先。
  • 算法与数据认知(核心):
  • 深入理解前沿具身智能算法范式(如 视觉语言动作模型、 世界模型、 模仿学习、强化学习等)。
  • 清晰了解这些算法在训练阶段对数据的格式、分布、对齐精度及长尾场景的具体要求。
  • 从业经验:具备3年以上AI数据解决方案、技术架构师或算法/数据工程经验。来自以下背景者优先:
  • 自动驾驶行业(熟悉端到端自动驾驶数据闭环、4D标注、仿真数据)。
  • 大语言模型/多模态大模型行业(熟悉RLHF、SFT数据构建及复杂多模态对齐)。
  • 机器人行业(有实际机器人研发或数据处理经验)。
  • 综合能力:具备极强的技术转化与沟通能力,能将晦涩的算法语言转化为执行端的工程SOP;具备优秀的抗压与项目统筹能力。
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