Experienced/Senior Machine Learning Engineer - Squad Scribe at doctrine

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. 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 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. (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.