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.
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
Nice to Have
- ideally with some first-hand experience with LLMs
Benefits
- A flexible remote work policy, allowing up to three days of remote work per week (depending on your team)
- A flexible leave policy
- Real internal mobility opportunities
- Regular team events
- A genuine focus on individual and collective learning, with a €750 annual budget for any training related to your role, plus team-wide and company-wide training sessions
- A Gymlib subscription for sports and wellness activities
- Free access to the Moka.care mental health support platform, including up to 6 individual sessions per year
- Health insurance with Alan
- A Swile card for meal vouchers and sustainable mobility allowance (€66.60/month)
- Discounts and perks via our Works Council (CSE) on the Happypal platform
- Brand new Apple equipment
Work Arrangement
Hybrid — France, Italy, Germany
Our values
At Doctrine, our 4 values guide us every day as we work to move things forward. Challenge the status quo: we champion bold ideas that drive change across an entire industry. Liberty and responsibility: we encourage autonomy, individual impact and ownership. Knowledge is power: information is at the heart of Doctrine's mission, and we constantly strive to grow. Release early, release often and listen to your customers: we believe in the power of iteration and in constantly listening to our market, our customers and their challenges.
Our hiring process
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.)
Additional Information
- Previous professional experience in law is not required, but a willingness to learn and develop expertise in understanding legal documents is important
- Web tech stack is based on NodeJS, NestJS, React & NextJS
- Full details about our stack on GitHub https://github.com/DoctrineLegal/#our-tech-stack
- 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
- Within the Web 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
- All our roles are open to people with disabilities
