Develop NLP models (both ML-based and rule-based) to assist with information retrieval and recommendation specifically within legal documents.
Maintain and monitor these models in production.
Design conversational agents to accelerate lawyers’ workflows across various areas of law, ensuring accurate responses and facilitating drafting tasks.
Collaborate with cross-functional teammates, 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, ideally with 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 motivation to grow in this area.
A keen interest in artificial intelligence topics.
Desire to identify, evaluate, and deploy the latest scientific advances into production.
Strong Python development skills, with a focus 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)
Many career opportunities, with open internal mobility across Doctrine
Flexible and unlimited vacation policy
Strong focus on training: €750 yearly budget for self-directed learning, plus regular team and company-wide training
Regular team events
Excellent 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 CSE
Brand-new Apple equipment

Senior Machine Learning Engineer – Squad Scribe

Key skills