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Open nowPosted 9 hours ago

AI安全算法工程师 - 安全与风控

ByteDance19,257 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen nowAI安全算法工程师 - 安全与风控ByteDance · Hangzhou, Zhejiang, Chinese Mainland
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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 16 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%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 9 hours ago

ByteDance median: 16 days open

The posting

团队介绍:安全工程团队负责设计、搭建并维护字节跳动的全球安全基础设施、平台及服务。我们的核心职责是研发具备可扩展性的系统与工具,为公司全域产品的安全运营提供支撑。通过交付可靠、高性能的安全解决方案,保障字节跳动全球平台的安全,并提升业务韧性。

1、负责AI for Security&Security AI两个方向的核心能力建设,支撑安全产品、服务、工具的AI智能化升级,同时解决AI Agent引入的全新安全威胁和挑战; 2、建立AI Agent运行时风险识别和管控能力,通过语义理解、序列建模和异常检测,识别跨对话、权限及工具调用的复杂与未知风险,快速聚合事件并输出风险评分,挖掘共性攻击、低频异常和长期风险趋势;构建情报驱动的持续优化闭环,利用算法理解威胁情报与安全事故,自动提炼攻击特征并快速生成候选规则,结合样本、评测及处置反馈,加速检测能力迭代,持续降低误报、漏报并量化算法收益; 3、驱动Agentic SOC产品演进,构建面向安全运营的Agent数据关联和推理能力并优化效果达到可无人值守自动化运营程度,通过算法能力、Agent优化,对规则、关联算法、Agent编排、检测模型进行优化,提升准召和自动化无人值守运营效果,降低人工投入占比; 4、推动数据安全基础能力升级,建立规则、小模型和大模型协同的全新多模态数据识别架构,并形成基于业务反馈持续评估与自主演进的智能化闭环;利用LLM深化识别体系深度,探索基于资产扫描和解析构建数据血缘及业务语义资产知识库,全面提升安全与业务协同的自动化、智能化程度; 5、设计与构建基于数据挖掘、规则引擎、机器学习、AI/LLM的智能化风险发现与检测系统,针对信息安全、隐私安全、网络安全等场景的各类安全风险,建立主动防御能力;持续追踪最新的智能化攻防技术,及安全威胁检测和响应手段,在1-2个安全产品方向上,负责主导中长期安全智能化发展规划,设计技术演进路线,加强防御纵深,确保安全防护体系始终处于行业领先水平; 6、与工程、数据、运营、BP等XFN安全团队紧密合作,深入字节跳动各个业务线,结合业务发展方向和需求,建设持久高效、可复用的智能安全能力体系,保障业务在高安全水位下持续稳定的发展。

1、计算机科学、统计学、数据科学或相关专业本科及以上学历; 2、具有三年及以上数据挖掘或机器学习相关经验,熟悉数据挖掘常用算法和理论,包括但不限于:数据预处理、统计学习、分类聚类、异常检测、图学习等算法,并有将这些算法应用于实际风控业务的经验; 3、熟练掌握至少一种编程语言(Go/Java/Python),具备优秀的编码能力;至少熟悉一种主流的机器学习/深度学习框架(如TensorFlow、PyTorch等); 4、具有大数据处理相关经验,熟练使用Hive、SQL、Spark、Flink等工具进行大数据分析和挖掘; 5、机器学习理论基础扎实,具备将算法实际落地的能力;了解业界前沿技术动态,具备良好的系统设计和工程实现能力; 6、能够在高速对抗、跨团队协作的风控环境下保持积极主动的主人翁精神,具备优秀的沟通能力和团队协作技巧。

加分项: 1、具备良好的英语能力,能够满足国际业务与技术沟通需求者优先。

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