Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Senior Machine Learning Engineer at Doctrine focusing on developing NLP models for legal document processing. Join an ambitious team to innovate within the field of legal technology.
Responsibilities
- Develop NLP models (ML-based or otherwise) to support search and information recommendation within legal documents.
- Maintain and monitor these models in production.
- Design conversational agents to accelerate lawyers' work across different legal domains, ensuring accurate responses and supporting drafting tasks.
- Collaborate with diverse profiles, including engineers, product managers, and product designers, to identify new product development opportunities.
- Contribute to internal knowledge sharing and consolidation of best practices; help shape our Engineering strategy.
Requirements
- Strong knowledge of machine learning (classical and deep learning) for data extraction and recommendation, with ideally some first-hand experience with LLMs.
- Experience with natural language search engines and inverted indexing such as Elasticsearch.
- A strong interest in artificial intelligence topics.
- A drive to identify, analyze, and integrate the latest scientific advances into production.
- Proficiency in Python development, with a focus on algorithm development.
- Proficiency in French, as you will be working with French legal data.
Benefits
- Flexible remote work policy, with 2 days in the office per week (Tuesday and Thursday)
- Many career options and internal mobility opportunities open to everyone at Doctrine
- Flexible and unlimited vacation
- Strong focus on individual and team learning, with an annual €750 training allowance and regular team/company-wide training sessions
- Regular company events
- Comprehensive health insurance with Alan
- Sustainable mobility allowance of €66 per month
- Gymlib subscription for sports and wellness activities
- Swile card for meal vouchers
- Free access to the Moka.care mental health support platform
- Hundreds of discounts and benefits negotiated through our works council (CSE)
- New Apple work equipment provided
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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