Experienced/Senior Machine Learning Engineer - Squad Scribe

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 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.

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.