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Open nowPosted 34 days ago

【校招】训练系统前沿方向青年研究员-系统平台中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】训练系统前沿方向青年研究员-系统平台中心aicarrier/522799 · Shanghai, 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.

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 34 days ago

The posting

带领或联合指导博士生/实习生，结合实验室主线任务需求和系统领域前沿探索，在大模型训推系统、Agent Infra等方向开展研究，制定技术路线并推进落地，现有方向包括： 1.分布式训推架构：深入攻坚训推系统的性能瓶颈，在MoE模型、稀疏注意力、长程任务容灾能力、计算-通信重叠、访存效率、Agentic Reasoning 推理加速等方向上进行深度优化； 2.负责或参与智能体强化学习（Agentic RL）训练框架及运行时系统的研发，以及智能体训练、推理平台与分布式存储等系统的建设； 3.面向超节点的下一代训推框架研发：结合超节点高带宽域等新硬件特性，研发下一代硬件原生的机器学习基建； 4.持续追踪无限上下文、多模态训练、新并行范式等前沿技术，并尝试集成到实验室系统中解决真实问题； 5.参与开源社区与技术分享：将研究成果以技术博客、开源代码或学术论文的形式输出，与全球社区共同进步。

1.博士以上学历，专业方向为计算机科学、人工智能、电子工程或相关领域； 2.在机器学习系统、分布式系统、高性能计算、大模型训练/推理等至少一个方向上有扎实的科研或工程积累，有顶级会议/期刊（如 NeurIPS, ICML, MLSys, OSDI, SC 等）论文发表经历优先； 3.熟悉 PyTorch/TensorFlow 等深度学习框架的内在机制，对 CUDA、MPI、NCCL 等通信库有实践经验者更佳； 4.具备优秀的团队领导与沟通能力，有指导博士生/实习生或带领研究项目的经验者更佳； 5.具备良好的自驱力与系统性思维，善于从复杂系统中抽象出关键问题。

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