Machine Learning Engineer
Description For Machine Learning Engineer
Doctrine, the leading legal intelligence platform, is seeking a Machine Learning Engineer to join their mission of making law more accessible and transparent. The role involves developing sophisticated NLP models and conversational agents to help lawyers work more efficiently. You'll join a squad focused on making legal information about companies more accessible and developing new tools for contract legal security. The position offers a blend of technical challenges in AI/ML and meaningful impact in the legal sector. The company values innovation, autonomy, and continuous learning, offering a flexible hybrid work environment with 2 office days per week. While legal experience isn't required, enthusiasm for learning about legal documents is essential. The role combines cutting-edge ML development with practical applications in the legal domain, supported by comprehensive benefits and professional development opportunities.
Responsibilities For Machine Learning Engineer
- Develop NLP models (ML-based or not) for search and recommendation in legal documents, particularly in German language
- Maintain and monitor models in production
- Design conversational agents to accelerate lawyers' work in different areas of law
- Collaborate with engineers, product managers, and designers to identify new product development areas
- Participate in internal knowledge sharing and help develop Engineering strategy
Requirements For Machine Learning Engineer
- Strong knowledge of machine learning (classical and deep learning) for data extraction and recommendation, ideally with LLM experience
- Experience with natural language search engines and inverted indexes like Elasticsearch
- Strong interest in artificial intelligence
- Ability to identify, analyze, and implement latest scientific advances in the field
- Strong Python development skills with focus on algorithm construction
- Fluency in French for handling legal data
Benefits For Machine Learning Engineer
- Flexible remote work policy with 2 office days per week
- Unlimited vacation policy
- Annual training budget of 750€
- Health insurance through Alan
- Sustainable mobility allowance of 66 euros per month
- Gymlib subscription for sports activities
- Swile card for meal vouchers
- Mental health support through Moka.care
- CSE benefits and discounts
- New Apple work equipment
- Regular team events
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