Job Opportunities API

⭐ 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