Experienced/Senior Machine Learning Engineer - Squad Scribe

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): Build a multi-document drafting tool and a dedicated chatbot; Launch add-ins to assist daily legal drafting; Enhance automatic PDF translation features.

Responsibilities

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; Join the Web chapter and contribute to internal projects aimed at improving processes and shaping long-term vision; Take part in recruitment through technical assessments or interviews

Requirements

Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation; 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; Willingness to learn and develop expertise in understanding legal documents

Nice to have

First-hand experience with LLMs

Benefits

Flexible remote work policy allowing up to three days of remote work per week; Flexible leave policy; Real internal mobility opportunities; Regular team events; €750 annual training budget; Gymlib subscription for sports and wellness activities; Free access to Moka.care mental health support platform with up to 6 individual sessions per year; Health insurance with Alan; Swile card for meal vouchers and sustainable mobility allowance (€66.60/month); Discounts and perks via Works Council (CSE) on the Happypal platform; Brand new Apple equipment