Develop NLP models (ML-based or rule-based) to support information retrieval and recommendation, particularly within legal documents.
Maintain and monitor these models in production.
Design conversational agents to accelerate lawyers’ work across different areas of law, ensuring accurate responses and assisting with drafting tasks.
Collaborate with a range of profiles, including engineers, product managers, and product designers, to identify new product opportunities.
Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our engineering strategy.

Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, with ideally some hands-on experience with large language models (LLMs).
Experience with natural language search engines and inverted indexes such as Elasticsearch.
Solid understanding of MLOps challenges, with a strong desire to grow in this area.
A strong interest in artificial intelligence topics.
Willingness to identify, evaluate, and deploy the latest scientific advances into production.
Strong Python development skills, with an emphasis on algorithm design.
Proficiency in French, as you will be working with legal data in French.

Flexible remote work policy: 2 days per week in the office (Tuesdays and Thursdays)
Wide career opportunities with open internal mobility across Doctrine
Flexible, unlimited vacation policy
Strong focus on learning: €750 annual budget for self-directed training, plus regular team and company-wide training
Regular team events
Comprehensive health insurance with Alan
Sustainable mobility allowance of €66/month
Gymlib subscription for sports and wellness activities
Swile meal card
Free access to Moka.care for mental health support
Hundreds of discounts and perks through our Works Council (CSE)
Brand-new Apple equipment

Senior Machine Learning Engineer

Key skills