Our Mission ⚖️

At Doctrine, we're building Europe's leading legal AI platform.

Our belief? Law shouldn't be slowed down by repetitive tasks. It should be augmented by a specialised AI, designed to understand, analyse and produce legal reasoning at the highest standard.

Our ambition? To help legal professionals work with greater reliability, efficiency and peace of mind, through a single, comprehensive and secure platform.

Today, 27,000 legal professionals across five countries (France, Italy, Germany, Spain and Luxembourg) trust us to do just that.

Our growth is guided by a clear approach: a global vision, grounded in a deep understanding of local specificities.

Behind this ambition, a team of around 250 people, united around one goal: supporting lawyers and legal professionals at every stage of their work, from research to drafting.

And we're just getting started.

Context

We are looking for a confirmed/senior Machine Learning Engineer to help us build the first legal AI platform.

Join a squad dedicated to revolutionizing how legal professionals advise clients and businesses across France and Europe. A high-impact product squad responsible for secondary legal sources and private documents. These are complex challenges where you will also contribute to embedding GenAI at the core of our products.

You can find full details about our stack on GitHub https://github.com/DoctrineLegal/#our-tech-stack !

Note: Previous professional experience in law is not required, but a willingness to learn and develop expertise in understanding legal documents is important 🙂

Missions 🛠

Develop NLP models (whether based on Machine Learning or not) to assist with information search and recommendation within legal documents, in particular.
Maintain and monitor these models in production.
Design conversational agents to accelerate lawyers’ work across various areas of law, ensuring accurate responses and facilitating drafting tasks.
Collaborate with different types of profiles, including engineers, product managers, and product designers, to identify new product development opportunities.
Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our Engineering strategy.

Ideal Profile 👀

Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, ideally with some first-hand experience with 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, analyze, and deploy the latest scientific advances in production.
Strong Python development skills, with a focus on algorithm design.
Proficiency in French, as you will be working with legal data in French.

Extras of the role 👁

Like all engineers at Doctrine, you will join one of our cross-functional chapters — in this case, the Web 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's in it for you ☀️

🏡 A flexible remote work policy, allowing up to three days of remote work per week (depending on your team).

🌴 A flexible leave policy

🌱 Real internal mobility opportunities

🏄‍♂️ Regular team events

📚 A genuine focus on individual and collective learning, with a €750 annual budget for any training related to your role, plus team-wide and company-wide training sessions

🏋️‍♀️ A Gymlib subscription for sports and wellness activities

🧘 Free access to the Moka.care mental health support platform, including up to 6 individual sessions per year

👩‍⚕️ Health insurance with Alan

🍱🚲 A Swile card for meal vouchers and sustainable mobility allowance (€66.60/month)

💡 Discounts and perks via our Works Council (CSE) on the Happypal platform

🍏 Brand new Apple equipment

Our values 🤝

At Doctrine, our 4 values guide us every day as we work to move things forward.

Challenge the status quo: we champion bold ideas that drive change across an entire industry.

Liberty and responsibility: we encourage autonomy, individual impact and ownership.

Knowledge is power: information is at the heart of Doctrine's mission, and we constantly strive to grow.

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

Our hiring process 🚀

A 30-min intro call with one of our Talent Acquisition Managers to understand your career goals and walk you through what we're building at Doctrine.
A 1-hour conversation with your future manager to dive into the role, team scope and answer all your questions.
One or two technical assessments to evaluate your skills in practice.
An office visit including: lunch with 3 people from different teams to give you a feel for your future colleagues; a values conversation to share our vision; and a meeting with our CEO, Guillaume.

(The process can be adapted to fit your personal and professional constraints if needed.)

Ladies, go ahead and apply!

Research shows that women in particular tend not to apply for a role when they don't meet every single requirement. To put your mind at ease: this job description is a guide, nothing more.

If Doctrine interests you, we'd love to hear from you!

Diversity & inclusion

All our roles are open to people with disabilities. Feel free to bring it up at any point during the process. We're committed to putting in place whatever adjustments are needed to ensure a working environment that works for everyone.

Doctrine

Experienced/Senior Machine Learning Engineer - Squad Distribute

About the Job

Requirements

Responsibilities

Desired Qualifications