软件工程师 II，模型平台
Software Engineer II, Model Platform
职位描述
Abnormal AI 正在寻找一名软件工程师 II 加入检测团队。检测部门专注于构建世界上最先进的技术，以识别和阻止以前无法检测到的电子邮件和基于云的攻击，帮助让世界变得更安全。作为专注于为检测模型平台构建系统的软件工程师，您将负责使 Abnormal 的特征开发成为快速、响应迅速、稳定且令人信服的体验，供我们的机器学习和数据科学团队使用。
理想的候选人具备从基础原理出发构建可扩展、以客户为中心的解决方案的能力，具有主人翁意识，并能够快速独立地解决新问题。
您将负责的工作
- 利用行业标准的 AI 工具来设计、构建、部署和维护支持世界级检测引擎的模型服务基础设施。
- 负责项目，将我们的模型服务和数据处理服务扩展至当前流量的 10 倍。
- 负责实时和近实时流处理管道以及在线特征服务。
- 与 MLE 和数据科学团队紧密合作，提炼反馈，将其与策略相关联并执行。
必备条件
- 4 年以上软件工程师或类似角色的经验，有构建数据导向解决方案的实际经验。
- 精通利用 AI 工具通过发现、设计、实施和推出软件系统来加速工程成果。
- 在 AWS、GCP 或 Azure 等云平台上维护大规模分布式系统的经验，包括对云工程最佳实践的深入理解。
- 有实时和近实时数据管道或流服务的经验。
- 扎实的计算机科学基础，了解数据结构和性能优化。
- 计算机科学、应用科学、信息系统或其他相关工程领域的学士学位。
加分项
- 熟悉我们的技术栈：AWS、Kubernetes、Python/Django、Golang 和 Postgres。
- 构建可扩展的企业级应用程序的经验。
- 网络安全经验（例如 OWASP 最高十项）。
- 熟悉 AI 开发工具，如 Cursor、GitHub Copilot 或 Claude。
#LI-PP1
关于我们在流程中使用 AI 的说明：
Abnormal AI 使用 AI 辅助工具帮助我们的招聘团队准备候选人面试。这些工具分析简历内容和职位要求
查看英文原文
About the Role
Abnormal AI is looking for a Software Engineer II to join the Detection Team. The Detection Division is focused on building the world’s most advanced technology to identify and stop email and cloud-based attacks that were previously undetectable, helping make the world a safer place. As a Software Engineer focused on building systems for Detection’s Model Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for our ML and Data Science teams.
The ideal candidate brings a first-principles approach to building scalable, customer-centric solutions, an ownership-oriented mindset, and the ability to iterate quickly and autonomously on novel problems.
What You Will Do
- Leverage industry-standard AI tools to architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine.
- Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today.
- Own real-time and near real-time streaming pipelines, and online feature serving services.
- Collaborate closely with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing.
Must Haves
- 4+ years of experience as a Software Engineer or in a similar role, with hands-on experience building data-focused solutions.
- Proficiency leveraging AI tools to accelerate engineering outcomes through discovery, design, implementation, and rollout of software systems.
- Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of best practices in cloud-based engineering.
- Experience with real-time and near real-time data pipelines or streaming services.
- Strong fundamentals in computer science, data structures, and performance optimization.
- BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field.
Nice to Have
- Familiarity with our stack: AWS, Kubernetes, Python/Django, Golang, and Postgres.
- Experience building scalable, enterprise-grade applications.
- Experience with web security (e.g., OWASP Top 10).
- Familiarity with AI development tools such as Cursor, GitHub Copilot, or Claude.
#LI-PP1
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.