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Open nowPosted 163 days ago

蔚来AGI超星计划-端到端大模型闭环数据迭代

nio/campus870 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now蔚来AGI超星计划-端到端大模型闭环数据迭代nio/campus · Shanghai, Chinese Mainland

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 163 days ago

The posting

课题介绍 - 探索world action大模型预训练、后训练高效数据闭环迭代范式 - 负责端到端大模型Policy、Env Generation、价值评估紧耦合的模型架构设计、训练及优化 - 主导模型与数据结合的高效闭环训练、数据Scaling范式（预训练/SFT/RL）研究 - 参与多任务、多Scenario 训练、Benchmark数据集制作及筛选，评测指标设计 预期产出 - Physical AI行业顶级的科技报告与技术论文； - 结合蔚来百万辆智能辅助驾驶车辆实现高效的数据闭环迭代

  • 精通VLA/WA/WM算法的原理，熟练掌握大模型训练、微调方法；
  • 扎实的数学基础（概率统计、优化、图论）；
  • 熟练掌握Python/C++编程及PyTorch/TensorFlow等深度学习训练框架；
  • （加分）发表过智能辅助驾驶 / 具身智能相关方向的高权重 / 高技术影响力论文，具备对世界模型的体系化认知能力；
  • （加分）在国内外顶尖高校实验室或企业核心模型团队参与数据Scaling工作；
  • 学历：博士在读优先，计算机/AI/自动化/运筹学/数学等相关专业；
  • 实习时长6个月以上。
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