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Open nowPosted 191 days ago

大模型赋能安全攻防研究-安全与风控（北京/杭州/深圳）

ByteDance19,260 open roles

Where
Shenzhen, Guangdong, Chinese Mainland
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Your applicationOpen now大模型赋能安全攻防研究-安全与风控（北京/杭州/深圳）ByteDance · Shenzhen, Guangdong, Chinese Mainland

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 191 days ago

ByteDance median: 27 days open

The posting

团队介绍：字节跳动安全与风控部门，负责公司信息安全的建设、规划和管理工作。致力于为亿万用户的数据安全保驾护航，为字节跳动的每一位用户打造健康自由交流的防护盾。作为企业信息安全的新生力量，以技术为基石，全面提升前瞻性研究和自动化能力。团队积极布局安全人才培养与招募，在北京、上海、深圳、杭州、南京、硅谷、伦敦、新加坡等地均设有安全研发中心，并逐步和信息安全领域的知名高校、研究机构建立深度合作，与安全人才、高校、行业共同努力，建设并反哺互联网安全生态。

课题介绍： 当前 Vibe Coding、 Agentic Engineering等大模型驱动的软件工程新范式已得到广泛应用，与此同时其带来的安全风险也在加速生成，传统渗透测试、代码审计、Fuzzing、逆向、漏洞修复等攻防技术的效率、准召性能、保护性能均有许多局限，而新形势下要求安全攻防技术效率更高、能力更强、胜任高复杂度的安全攻防任务。本课题将探索大模型赋能安全攻防技术的效率和能力上限，并应用到真实软件世界和业务中。

课题挑战： 1、渗透测试、红蓝攻防等任务复杂度高、运行时长，带来成功率和稳定性挑战； 2、真实业务复杂，漏洞自动挖掘和修复难度大； 3、业务规模大，技术落地需要考虑极致效率和经济成本。

课题价值： 提升渗透测试、代码审计、Fuzzing、逆向、漏洞修复等攻防技术的效率、准召性能、保护性能上限，胜任高复杂度的安全攻防任务。

1、2027届毕业，获得博士学位，信息安全、人工智能、计算机相关专业； 2、优秀的代码能力，熟悉LLM和Agent原理，熟练应用LLM技术，对各类安全漏洞原理，对安全漏洞发现、利用和修复有深入理解； 3、在CCS/NDSS/IEEE S&P/USENIX Security等安全顶级会议或期刊上发表论文者优先； 4、出色的问题分析和解决能力，有自主探索解决方案的能力； 5、良好的沟通协作能力，能和团队一起探索新技术，推进技术进步。

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