Experienced/Senior Machine Learning Engineer - Squad Scribe

**Our Mission ⚖️** At Doctrine, we're building Europe's leading legal AI platform. Our belief? Law shouldn't be slowed down by repetitive tasks. It should be augmented by a specialised AI, designed to understand, analyse and produce legal reasoning at the highest standard. Our ambition? To help legal professionals work with greater reliability, efficiency and peace of mind, through a single, comprehensive and secure platform. Today, 27,000 legal professionals across five countries (France, Italy, Germany, Spain and Luxembourg) trust us to do just that. Our growth is guided by a clear approach: a global vision, grounded in a deep understanding of local specificities. Behind this ambition, a team of around 250 people, united around one goal: supporting lawyers and legal professionals at every stage of their work, from research to drafting. And we're just getting started. **Context** We are looking for a confirmed/senior Machine Learning Engineer to help us build the first legal AI platform. You’ll join the **“Scribe” team** with a clear mission: **revolutionize legal drafting (Drafting) in France, Italy, and Germany**. We deploy cutting-edge solutions (LLMs) **directly where lawyers and legal professionals work**. **Your roadmap (3–6 months):** - **Web App:** Build a multi-document drafting tool and a dedicated chatbot. - **Integrations:** Launch add-ins to assist daily legal drafting. - **AI & Translation:** Enhance our automatic PDF translation features. Our web tech stack is based on **NodeJS, NestJS, React & NextJS**. You can find full details about our stack on GitHub ! **Note:** Previous professional experience in law is **not required**, but a willingness to learn and develop expertise in understanding legal documents is important 🙂 ### Missions 🛠 - Develop NLP models (whether based on Machine Learning or not) to assist with information search and recommendation within legal documents, in particular. - Maintain and monitor these models in production. - Design conversational agents to accelerate lawyers’ work across various areas of law, ensuring accurate responses and facilitating drafting tasks. - Collaborate with different types of profiles, including engineers, product managers, and product designers, to identify new product development opportunities. - Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our Engineering strategy. ### Ideal Profile 👀 - Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, ideally with some first-hand experience with LLMs. - Experience with natural language search engines and inverted indexes such as Elasticsearch. - Solid understanding of MLOps challenges, with a strong motivation to grow in this area. - A keen interest in artificial intelligence topics. - Desire to identify, analyze, and deploy the latest scientific advances in production. - Strong Python development skills, with a focus on algorithm design. - Proficiency in French, as you will be working with legal data in French. ### Extras of the role 👁 - Like all engineers at Doctrine, you will join one of our cross-functional chapters — in this case, the Web chapter. Within this chapter, you will contribute to internal projects aimed at improving our processes and shaping our long-term vision. The chapter meets every week to: - **Share knowledge**: keep track of the state of the art, review scientific papers, continuous improvement, best practices, etc. - **Propose improvements**: experiment with new tools, suggest new processes to implement. - You will also take part in **recruitment**: all individual contributors meet candidates through technical assessments or interviews.