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Open nowPosted 61 days ago

【实习】大模型&智能体安全实习生-攻防平台中心

aicarrier/522799209 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now【实习】大模型&智能体安全实习生-攻防平台中心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 61 days ago

The posting

1、紧跟学术界与工业界在安全领域的最新动态（如 Agent Safety, Jailbreak, Prompt Injection, Adversarial Attacks 等），阅读并快速复现相关论文中的攻击与防御算法。 2、设计并构造针对大模型的多样化攻击提示词和对抗样本，对模型进行红队测试（Red Teaming），分析模型在恶意诱导下的脆弱性及失效模式。 3、参与大模型及智能体安全检测的系统构建与算法落地，实现从环境构建、自动化攻击到安全校验的全流程工程化闭环。

1、计算机、人工智能、网络安全、数学等相关专业在读硕士/博士，基础扎实的优秀本科生亦可。 2、精通 Python 编程，具备良好的代码风格；熟悉 PyTorch 或 TensorFlow 等主流深度学习框架，熟练使用 HuggingFace Transformers 库进行模型调用与推理。 3、理解 Transformer 架构、LLM 的训练与微调基本原理；对提示工程有一定实践经验。 4、对 AI 安全、对抗性机器学习（Adversarial ML）有浓厚兴趣；具备快速学习能力，能阅读英文顶会论文并转化为代码。 5、每周出勤3天以上，连续实习 3 个月以上（长期实习者优先）。

加分项： 1、熟悉常见的 LLM 攻击模式（如 GCG, AutoDAN, PAIR 等）或防御机制（如 PPO, DPO, Guardrails）。 2、在 AI 安全、NLP 等领域的顶级会议（NeurIPS, ICLR, ACL, CCS, USENIX Security 等）发表过论文。 3、在 GitHub 上有高质量的开源项目或相关工具库贡献。

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