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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - Squad Scribe - **Company:** Doctrine - **Location:** Inconnu, France (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Data Mining, Elasticsearch, Github, Python (Programming Language), Machine Learning, Node.Js, Next.js, Systems Integration, ReactJS, Large Language Models, Search Engines, Machine Learning Operations, NestJS - **Published:** September 5, 2026 - **Apply:** https://startup.jobs/experienced-senior-machine-learning-engineer-squad-scribe-doctrine-7890222 ## About the Role * 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. ## Description * 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 https://github.com/DoctrineLegal/#our-tech-stack ! 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., * 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., 1. A 30-min intro call with one of our Talent Acquisition Managers to understand your career goals and walk you through what we're building at Doctrine. 2. A 1-hour conversation with your future manager to dive into the role, team scope and answer all your questions. 3. One or two technical assessments to evaluate your skills in practice. 4. An office visit including: lunch with 3 people from different teams to give you a feel for your future colleagues; a values conversation to share our vision; and a meeting with our CEO, Guillaume. (The process can be adapted to fit your personal and professional constraints if needed.) ## Related Videos - [LLMs in the wild: Building an AI agent that survives production](https://www.wearedevelopers.com/videos/100319-llms-in-the-wild-building-an-ai-agent-that-survives-production) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Stop Using Node.js Like It’s 2020! - Alfonso Graziano](https://www.wearedevelopers.com/videos/1863-stop-using-node-js-like-it-s-2020-alfonso-graziano) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)