Applied AI Engine Engineer in Test (Content Inspection, Shisa)
发布于 2 小时前普通员工/个人贡献者
值不值得投
综合评分 73
Frontier AI+Cybersecurity QA role at a leading vendor, strong on skill development, clear on purpose, but with unknown WLB specifics.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资怎么样
60K
比测试开发中位数高
发布情况
新岗位 · 今天发布
公司情况
这家公司招聘很活跃
79 个在招 · 其中测试开发 4 个
市场机会
选择不多
台北 · 测试开发 · 10 个在招
职位详情
关于这个职位
This role involves testing and evaluating the quality of Trend Micro's core Virus-Scan and Advanced Threat Scan engines. You will leverage AI-native development tools to design, automate, and optimize test workflows for the content inspection pipeline, with a focus on improving testing coverage and efficiency. The position is part of a team driving AI-driven testing transformation.
最低要求
BS or MS in Computer Science or related field; Highly proactive, self-motivated and good team work; Experience in programming languages (e.g. C, C++, Perl, Python); Experience in Windows Operating System; Good English communication skills.
工作职责
Write/review codes to evaluate the quality (focus on C/C++/Perl/Python); Analyze and research emerging threats; Collaborate with cross-functional teams to design threat detection patterns, review technical solutions, and deliver high-quality scan engines; Create/Maintain automation scripts/process/system for testing; Leverage AI-native development tools (e.g., Claude Code, GitHub Copilot, Cursor) to design, automate, and optimize test workflows, improving testing coverage and efficiency across the content inspection pipeline.
优先资格
Team AI Enablement: Experience driving team-level QA improvements by standardizing AI-assisted workflows, including documentation, knowledge sharing, and onboarding teammates to new AI tooling; AI Detection Model Testing: Exposure to AI-powered detection or classification models, and experience designing test strategies to validate their output quality, edge cases, and regression behavior.
AI 洞察
优缺点分析
优点
- 深度参与前沿的AI与安全技术结合领域，技术栈非常现代
- 公司重视AI转型，为员工提供了探索和应用新工具的良好环境
- AI工具和测试方法快速迭代，需要持续学习以跟上技术前沿
- 保障核心扫描引擎的质量责任重大，对测试的严谨性和深度要求高
- 适合对网络安全质量保障有热情，熟悉编程并乐于尝试和整合AI工具来提升工程效率的工程师
缺点 / 挑战
- 作为全球领先安全公司的核心产品研发团队成员，能接触到复杂的技术挑战和行业最新动态
- 需要将AI工具有效地整合到成熟的测试流程中，可能面临实践落地的挑战
角色解读
- 专注于AI驱动的测试策略与自动化，可向测试架构师或AI质量专家方向发展
- 深入网络安全领域，成为病毒引擎或威胁检测方面的技术专家
- 参与团队AI赋能工作，积累领导力，向测试团队负责人方向发展
- 负责趋势科技核心病毒扫描和高级威胁扫描引擎的质量评估与测试
- 使用AI原生开发工具（如Claude Code, GitHub Copilot）来设计、自动化和优化测试工作流，提升检测管线的测试覆盖率和效率
- 分析新兴威胁，与跨职能团队协作，设计威胁检测模式并审查技术方案
- 扎实的编程能力，至少精通C、C++、Perl或Python中的一种
- 熟悉AI辅助开发和测试工具，并有将其集成到日常QA活动中的实践经验
- 理解内容检测、恶意软件分析等网络安全相关知识
申请策略
- 在申请时，可以简要陈述自己对将AI应用于软件测试的理解，以及如何在该岗位上发挥作用
- 研究趋势科技在AI安全方面的产品和动态，面试中可以展示你对公司业务和战略的关注
- 重点突出使用AI工具（如GitHub Copilot）提升开发或测试效率的具体项目或成果
- 详细描述在C/C++/Python项目中的编程实践，特别是与自动化脚本或工具开发相关的经验
- 列举与网络安全、内容检测、恶意软件分析或任何质量保证相关的项目经验
- 深入实践一到两款主流AI编程/测试工具，能说明其如何应用在具体测试场景（如生成测试用例、分析日志）
- 复习Windows操作系统底层知识以及病毒扫描引擎可能涉及的文件系统、进程监控等概念
面试指南
- For the AI tool question, use the STAR method: Describe the Situation, the Task, the specific AI tool you Used, and the quantifiable Result or improvement.
- For testing strategy questions, structure your answer around test types (unit, integration, performance, security), specific test scenarios (edge cases, adversarial inputs), and evaluation metrics (accuracy, false positives/negatives).
- For technical challenge questions, focus on the problem-solving process: how you analyzed the issue, potential solutions considered, the approach taken, and the outcome/learning.
- Can you describe a project where you used an AI tool (like a code assistant) to improve your testing or development workflow? What was the impact?
- How would you approach testing an AI-driven detection model for a content inspection pipeline? What are the key test cases or strategies?
- Explain a technical challenge you faced while automating tests for a C/C++ or Python project. How did you solve it?
- What do you understand about the challenges of testing low-level system software like a virus scan engine?
- How do you stay updated with new AI tools and cybersecurity threats?
职位点评
薪资福利
The position is at a large, publicly listed company in a developed region (Taiwan), suggesting a potentially competitive salary and benefits package, though specific details are not provided in the JD.
成长发展
This role is at the forefront of integrating AI into QA workflows, offering excellent exposure to cutting-edge tools and methodologies. The mission to contribute to an 'AI-driven testing transformation' strongly supports skill growth.
工作生活
The work location is in Taipei, a major city with good amenities. However, the JD does not mention any information about work mode, flexible hours, or overtime expectations, making it difficult to assess work-life balance.
使命价值
The work is in cybersecurity, a field with clear social value in protecting users and enterprises. The role contributes to the core security product, which is meaningful. The company's vision 'Connected Intelligence for Securing a Connected World' aligns with this purpose.
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