Experienced Machine Learning Engineer - Germany (German speaking)

Doctrine; Paris; Sur place; EUR 50 000 - 75 000; Plein temps

Résumé du poste

A leading legal tech company in Paris is seeking a Machine Learning Engineer to develop and maintain NLP models for legal documents. This role will focus on innovation and collaboration with various teams to improve legal processes. Ideal candidates should have strong skills in machine learning and natural language processing, along with proficiency in English and German. Join us to make the law more accessible and impactful for society.

Prestations

Flexible remote work policy

Unlimited vacation

Career opportunities

Training budget

Great health insurance

Sustainable mobility package

Gym and wellness subscription

Meal card

Mental health support

Apple equipment

Qualifications

• Strong knowledge of machine learning techniques and deep learning.
• Experience with natural language search engines.
• Eagerness to learn and apply legal document knowledge.

Responsabilités

• Develop NLP models to support legal information search.
• Maintain and monitor models in production.
• Collaborate with engineers and product designers for development.

Connaissances

Machine learning knowledge

NLP models

Python development

Proficiency in English and German

Interest in artificial intelligence

Outils

Elasticsearch

Description du poste

Our Mission ⚖️

Since 2016, Doctrine has been committed to a major democratic challenge: making the law more accessible. We are the first AI‑powered legal platform that helps lawyers and legal professionals free themselves from repetitive, time‑consuming tasks so they can focus on what truly matters—at every stage of their work: whether it’s understanding a case, conducting legal research, or drafting documents.

Today, Doctrine welcomes over 1 million visits every month, with dozens of new legal professionals joining us every single day. Our ambition goes beyond borders: we aim to become the European leader in legal AI. After France, we have already launched Doctrine in Italy, and we are currently expanding into Germany with a strong conviction: you must think globally while executing locally. That’s why we work closely with our clients, striving to understand the unique subtleties of each legal system. And this is just the beginning!

Our Values 🤝

Challenge the status quo. We embrace bold ideas and smart risk‑taking.

Liberty and responsibility. We promote autonomy, individual impact, and ownership.

Knowledge is power. Information lies at the heart of Doctrine’s mission, and we always want to learn more.

Release early, release often, and listen to your customers. We believe in the power of iteration and in constantly listening to our market, our clients, and their challenges.

The context

Following rapid and profitable growth in France, Doctrine is laying the first foundations of its international expansion in Germany. We are looking for our first Machine Learning Engineer to help us launch the very first legal intelligence platform on the German market.

This is a strategic role that will directly impact the product roadmap and Doctrine’s future success in Germany.

Please note: the position is based in Paris, in our offices in the 8th arrondissement.

You can find details about our full stack sur Github

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.

Missions 🛠

• 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 product development.
• Contribute to spreading and consolidating best practices internally, and take part in shaping our Engineering strategy.

Ideal Profil 👀

• Strong knowledge of machine learning (both classical and deep learning) for data extraction and recommendation, ideally with initial experience working withLMs.
• 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.

Extras of the role 👁

• 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 🤗

• Contribute to an ambitious project with a real, positive impact on society: making the law more accessible and open.
• Benefit from tailored onboarding in the legal ecosystem to help you quickly navigate this stimulating environment.
• Join an adventure where you’ll constantly learn and share your knowledge with colleagues (internal/external talks, meetups, Tech & Sales Monthly, Medium blog, etc.).
• 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 🚀

• A 30‑minute first call with one of our Talent Acquisition Managers to understand your career goals and introduce Doctrine’s mission.
• A 1‑hour meeting with your future manager to dive into the role, team scope, and answer your questions.
• One or two technical assessments to evaluate your skills in practice.
• 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.

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.