# AI红队安全专家

External opening: you cannot apply through AI Native Match; apply on the official site.

Apply through the official channel. The full external receipt stays in your workspace. When signed in, three minimal event types explicitly recorded through the CLI are reported by default: selection, self-reported application and channel observation. Browsing or saving a role does not report an event; external applications do not appear under My applications.

- Company: 小米 (Stage unknown)
- Locations: 北京, 武汉
- Role: Engineering
- Apply on the official site: https://xiaomi.jobs.f.mioffice.cn/index/position/7642527892006783275/detail

## Role description from source

1. 构建 AI Agent 驱动的自动化安全测试体系，集成代码审计、逆向调试、Fuzzing、渗透测试等工具链，实现从漏洞发现到验证的全流程自动化调度
2. 设计 AI 安全能力基准测试框架，建立可重复、可量化的模型攻防能力评估流程（覆盖漏洞发现率、利用成功率、误报率等核心指标）
3. 搭建 AI vs AI 自动化攻防对抗平台，推动安全测试从人工审计向 Agent 自主攻防演进
4. 基于评测数据驱动安全能力优化，与模型团队协作建立"评测-反馈-训练"闭环迭代机制
任职要求
- 3年以上安全研究经验，至少精通以下方向之一：
 a) 二进制漏洞挖掘与利用（操作系统/浏览器/移动端）
 b) 渗透测试与红队评估
 c) Fuzzing 工程（AFL/LibFuzzer/syzkaller 等）

- 熟练掌握 Python/C/C++ 中至少两门，具备独立开发安全工具和自动化框架的工程能力
- 有 AI 结合安全研究的实践经验（如使用 LLM 进行漏洞挖掘、Exploit 生成、代码审计等）
- 理解 AI Agent 核心机制（Tool Use、上下文管理、多步推理编排），有 Agent 应用开发或集成经验

【加分项】
- 有 CVE 编号、安全竞赛获奖、厂商漏洞赏金或名人堂记录
- 参与过模型安全评测、红队测试或安全微调数据集构建
- 熟悉 CodeQL / Semgrep / Joern 等静态分析工具
- 有大型开源项目（Linux 内核/Chromium/Android）的安全研究经历
- 活跃于安全社区，有技术博客、开源工具或会议演讲
接口顶部原始条件（未做资格推断）
{"city_list": [{"code": "CT_154", "en_name": "Wuhan", "i18n_name": "武汉", "location_type": 3, "mdm_code": "MDCY00000216", "name": "武汉", "node_status": 1, "py_name": "wuhan"}, {"code": "CT_11", "en_name": "Beijing", "i18n_name": "北京", "location_type": 3, "mdm_code": "MDCY00000001", "name": "北京", "node_status": 1, "py_name": "beijing"}], "job_post_info": {"HighlightList": [], "JobChannelPublishList": [], "address_list": [], "city_list": [], "correlation_job_list": [], "job_level_id_list": [], "job_post_object_value_map": {}, "job_post_process_time_list": [], "recruitment_type": {"active_status": 1, "children": [], "depth": 2, "en_name": "Full-time", "i18n_name": "全职", "id": "101", "name": "全职", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Experienced", "i18n_name": "社招", "id": "1", "name": "社招", "selectability": 1}, "selectability": 1}, "storefront_list": [], "tag_list": [], "target_major_list": []}, "process_type": 1, "project_type": 1, "recruit_type": {"active_status": 1, "children": [], "depth": 2, "en_name": "Full-time", "i18n_name": "全职", "id": "101", "name": "全职", "parent": {"active_status": 1, "children": [], "depth": 1, "en_name": "Experienced", "i18n_name": "社招", "id": "1", "name": "社招", "selectability": 1}, "selectability": 1}}

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opening_id: 02603b6d-fe49-4b7b-9200-40b2719aa010

`anm openings save --id 02603b6d-fe49-4b7b-9200-40b2719aa010`