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Open nowPosted 31 days ago

【校招】前沿强化学习青年研究员-安全基模中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【校招】前沿强化学习青年研究员-安全基模中心aicarrier/522799 · Shanghai, Chinese Mainland

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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 31 days ago

The posting

1. 安全训练与自主进化机制，包括大模型后训练核心算法，包括 SFT、PPO、GRPO、DAPO 、OPD、SAO等主流强化学习方法； 2. 研究面向下一代大模型的内生安全架构，探索将安全能力原生融入模型参数、记忆、注意力、MoE 等核心结构，并支持大模型（含 MoE 架构）的基于算子开发的高效训练与调优，训练基础设施与最佳实践； 3. 结合团队具体任务场景，将模型架构与 RL 技术落地为可交付的模型能力，持续提升模型的安全性、推理与泛化能力； 4. 结合当前智能体上的安全场景，将harness与模型架构进行更深结合，形成具备自调整，自组织能力的内生安全人工智能系统

1. 人工智能、计算机、数学、统计等相关专业应届博士学历，具备扎实的大语言模型与智能体基础； 2. 熟练掌握 PPO、GRPO、DPO、SAO 等主流 RL 算法，有大模型后训练 / RL 训练调优的实操经验；熟悉至少一种主流 RL 训练框架（如 veRL、OpenRLHF、TRL、slime 等），具备框架深度定制与二次开发能力者优先； 3. 具备扎实的工程实现能力，熟练掌握 Python，熟悉 PyTorch 分布式训练；有开发新型架构并展开一定规模的预训练工作经验者优先；有 Megatron-LM、vLLM、SGLang 等训练/推理 Infra 经验者优先； 4. 具备 一线大厂后训练团队相关经验者优先；在模型/训练技术报告中有署名成果者优先；在 NeurIPS、ICML、ICLR、ACL 等顶级会议发表过相关方向论文者优先（论文非硬性要求）； 5. 具备良好的前沿趋势洞察力、创新能力与独立解决问题的能力，科研与工程能力兼备。

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