AI工程师
AI Engineer
⭐ 关于团队：
DataDome 技术团队由六个子团队（仪表盘、引擎、基础设施、集成、威胁研究与安全）组成，团队成员分布在欧洲和美国。我们每天处理超过 2000 亿个事件，响应时间在 3ms（99p）。我们在全球 29 个数据中心有部署，使用 Docker 进行部署。
我们使用 AWS、Scaleway 和 GCP，结合 Docker、Ansible 和 Terraform 进行部署，并通过 Grafana 和 Prometheus 进行监控。我们每天平均处理 80 亿个请求，每月管理超过 300 TB 的数据。
在技术栈方面，我们使用 Java 运行实时检测层，使用 Scala 在 Flink 上运行低延迟的 Stream Engine，使用 ElasticSearch 进行存储，使用 Kafka 实现各层之间的通信，使用 HAProxy 进行负载均衡，使用 Symfony 和 Angular 构建我们的仪表盘。虽然之前有网络安全经验不是必须的，但我们会为你配备导师，帮助你弥补差距。由于“成长”是我们的 DNA 一部分，我们会提供你需要的资源和支持，帮助你掌握技能。
你将加入威胁研究团队，该团队负责通过客户端技术持续提升检测能力。
你的目标是挑战并提升我们的检测能力。你将加入威胁研究团队，该团队负责通过先进算法和以数据为中心的方法持续提升检测能力。
你的目标是利用生成式 AI 能力来挑战并提升我们的检测能力。
👉 你将具体负责以下工作...
- 将生成式 AI 应用于威胁研究团队的检测主题。例如，使用代理团队自动化流量分析，加快 SOC 团队对请求的响应。
- 在 DataDome 产品中注入生成式 AI，用于与威胁研究相关的功能，如根据过去的检测改进生成检测摘要。
- 主动寻找并开发用于欺诈检测的生成式 AI 使用场景。
- 与其他技术团队合作，推出 AI 驱动的功能。
- 在云上（AWS 或 GCP）构建生成式 AI 技术栈。
👤 如果你具备以下条件会更好：
- 具有应用 AI 工程的经验
- 至少 2 年 Python 编程经验
- 扎实的计算机科学背景
- 良好的 LLM / AI 工程理论知识
- 具备“黑客”精神
- 良好的沟通能力（口头和书面）
加分项
- 了解 GCP VertexAI 或 AWS Bedrock
查看英文原文
⭐ About the team:
Made up of six subteams (Dashboard, Engine, Infrastructure, Integrations, Threat Research & Security), the DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day giving responses within 3ms (99p). We are present in more than 29 data centers around the world, deployed using Docker.
We deploy on AWS, Scaleway and GCP, using Docker, Ansible and Terraform, and monitor with Grafana and Prometheus. We handle an average of 8 billion requests per day and manage more than 300 TB of data per month.
When it comes to our stack, we run real-time detection layer in Java, low latency Stream Engine running on Flink in Scala, ElasticSearch for storage, Kafka for communication between layers, HAProxy for load balancing, Symfony & Angular for our dashboards. While previous experience in cyber is not a must, we'll pair you with mentors who will help you bridge the gaps. As #growth is part of our DNA, we’ll give you the resources and support you need to develop mastery.
You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through client-side technologies.
Your goal will be to challenge and improve our detection capabilities. You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through advanced algorithms and data-centric approaches.
Your goal will be to challenge and improve our detection capabilities using generative AI capabilities.
👉 You will be more specifically in charge of things like...
- Applying generative AI to detection topics for the Threat Research teams. For example, use a crew of agents to automate traffic analysis and speed up SOC team response to requests.
- Injecting generative AI in DataDome products for Threat Research related features like generating a detection summary based on past detection improvement.
- Proactively looking for and develop generative AI use cases for fraud detection.
- Collaborating with other tech teams to deliver AI powered features.
- Building Gen AI stack at DataDome in the Cloud (AWS or GCP)
👤 It would be great if you have:
- First experience in applied AI Engineering
- At least 2 years of experience programming in Python
- Strong computer science background
- Good LLM / AI Engineering theoretical knowledge
- A "hacker" spirit
- Good communication skills (oral and written)
Nice to have
- GCP VertexAI of AWS Bedrock knowledge
- Multi agent framework (i.e. CreawAI) experience
- Pytorch experience
What’s in it for you?
- Flex Life: While we offer remote options our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace.· If you are full remote, the SNCF dicount card is paid for you to come to our office to visit us & your team monthly!
- Generous Health Benefits: We have partnered with Kenko for your healthcare needs.
- A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.
- Annual allowance of €200 if you come to the office by bike to cover maintenance costs.
- Professional Development: #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.
- Events & Team building: #We care and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture
- PTO: Based on the country you are based from (e.g. 25 days in France).
What are the next steps?
- You x Talent Acquisition Manager : first interview and cultural fit
- You x Engineering Manager : technical and cultural fit + Take-home technical challenge
- You x Team: Presentation and review of your "technical proposal" with the team
- You x Member of the leadership team - Discussion about DataDome vision and "raison d'être"!
- Now you really met everyone! Welcome to DataDome :)
DataDome stops cyberfraud and bots in real time, outpacing AI-driven fraud from simple to sophisticated across your sites, apps, and APIs. Named a Leader in the Forrester Wave for Bot Management, the DataDome platform is built on a multi-layered AI engine that focuses on intent, not just identity. Because it’s not about knowing who’s real, it’s about what they intend to do. With thousands of AI models that adapt to every fraudulent click, signup, and login, DataDome blocks fraud in less than 2 milliseconds, without compromising performance. DataDome is fully automated and integrates seamlessly into any tech stack. Backed by a 24/7 SOC team of advanced threat researchers, DataDome stops over 350 billion attacks annually. Experience protection that outperforms with DataDome.
DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
Originally posted on Himalayas