Experienced Machine Learning Engineer - Germany (German speaking)
Role details
Job location
Tech stack
Job description
- Develop NLP models (machine learning-based or otherwise) to support information search and recommendation within legal documents, with a particular focus on the German language.
- Maintain and monitor these models in production.
- Design conversational agents to help lawyers across different legal domains by ensuring accurate answers and streamlining drafting tasks.
- Collaborate with various profiles - including engineers, product managers, and product designers - to identify new opportunities for product development.
- Contribute to spreading and consolidating best practices internally, and take part in shaping our Engineering strategy., * Like all engineers at Doctrine, you will join one of our cross-functional chapters - in this case, the Data Science chapter. Within this 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. What Awaits You if You Join Doctrine
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Contribute to an ambitious project with a real, positive impact on society: making the law more accessible and open.
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Benefit from tailored onboarding in the legal ecosystem to help you quickly navigate this stimulating environment.
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Join an adventure where you'll constantly learn and share your knowledge with colleagues (internal/external talks, meetups, Tech & Sales Monthly, Medium blog, etc.).
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Work in a dynamic, ever-evolving team: plenty of room to innovate, lead projects independently, or collaborate in teams. Our Perks to Make a Difference ️ Flexible remote work policy: 2 days per week at the office (Tuesdays and Thursdays) Many career opportunities, with open internal mobility across Doctrine Flexible and unlimited vacation policy A strong focus on training: €750 yearly budget for self-directed learning, plus regular team and company-wide training ️ Regular team events ️ Great health insurance with Alan Sustainable mobility package 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 Our Recruitment Process
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A 30-minute first call with one of our Talent Acquisition Managers to understand your career goals and introduce Doctrine's mission.
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A 1-hour meeting with your future manager to dive into the role, team scope, and answer your questions.
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One or two technical assessments to evaluate your skills in practice.
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An onsite visit to our offices including: lunch with 3 team members from different departments (to give you a glimpse of your future colleagues), a discussion on our company values to share our vision, and a meeting with our CEO, Guillaume. (If necessary, the process can be adapted to meet your personal or professional needs.) Ladies, allow yourself to apply! Some studies show that women in particular are less likely to apply for a job if they don't meet 100% of the listed requirements. To reassure you: this job description is indicative-it's a guide, nothing more. If Doctrine interests you, we'd be delighted to receive your application! Diversity & Inclusion All our positions are open to people with disabilities. Please feel free to share any needs during the recruitment process. We are committed to implementing all necessary accommodations to ensure a work environment that is adapted to everyone.
Requirements
Good to know: prior professional experience in the legal field is not required. However, being eager to commit and build expertise in understanding legal documents is essential., * Strong knowledge of machine learning (both classical and deep learning) for data extraction and recommendation, ideally with initial experience working with LLMs.
- Experience with natural language search engines and inverted indexes such as Elasticsearch.
- A strong interest in artificial intelligence topics.
- Motivation to identify, analyze, and bring the latest scientific advancements in the field into production.
- Solid Python development skills, with a focus on algorithm design.
- Proficiency in both English and German, as you will be working with legal documents in German.