About the Role
<div><strong><span style="font-size: 24px;">Our Mission βοΈ</span></strong></div>
<div>
<p>At Doctrine, we're building Europe's leading legal AI platform.</p>
<p>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.</p>
<p>Our ambition? To help legal professionals work with greater reliability, efficiency and peace of mind, through a single, comprehensive and secure platform.</p>
<p>Today, 27,000 legal professionals across five countries (France, Italy, Germany, Spain and Luxembourg) trust us to do just that.</p>
<p>Our growth is guided by a clear approach: a global vision, grounded in a deep understanding of local specificities.</p>
<p>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.</p>
<p>And we're just getting started.</p>
</div><div><br></div><div><strong style="font-size: 24px;">Context</strong></div>
<div>
<p data-start="13" data-end="124">We are looking for a confirmed/senior Machine Learning Engineer to help us build the first legal AI platform.</p>
<p>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. </p>
<div>You can find full details about our stack on GitHub <a rel="noopener noreferrer" href="https://github.com/DoctrineLegal/#our-tech-stack" class="postings-link">https://github.com/DoctrineLegal/#our-tech-stack</a> !</div>
<div> </div>
<div><strong data-start="940" data-end="949">Note:</strong> Previous professional experience in law is <strong data-start="993" data-end="1009">not required</strong>, but a willingness to learn and develop expertise in understanding legal documents is important π</div>
</div><br><strong>Missions π </strong><br>
<li data-section-id="1lpti4g" data-start="0" data-end="157">Develop NLP models (whether based on Machine Learning or not) to assist with information search and recommendation within legal documents, in particular.</li>
<li data-section-id="3im2un" data-start="158" data-end="210">Maintain and monitor these models in production.</li>
<li data-section-id="1c7oxv8" data-start="211" data-end="361">Design conversational agents to accelerate lawyersβ work across various areas of law, ensuring accurate responses and facilitating drafting tasks.</li>
<li data-section-id="17013v7" data-start="362" data-end="524">Collaborate with different types of profiles, including engineers, product managers, and product designers, to identify new product development opportunities.</li>
<li data-section-id="146bz2a" data-start="525" data-end="664" data-is-last-node="">Participate in internal knowledge sharing and consolidation of best practices; contribute to the development of our Engineering strategy.</li>
<br><strong>Ideal Profile π</strong><br>
<li data-section-id="vabxy5" data-start="0" data-end="166">Strong knowledge of Machine Learning (both classical and deep learning) for data extraction and recommendation, ideally with some first-hand experience with LLMs.</li>
<li data-section-id="13l5xji" data-start="167" data-end="262">Experience with natural language search engines and inverted indexes such as Elasticsearch.</li>
<li data-section-id="f2hj8j" data-start="263" data-end="354">Solid understanding of MLOps challenges, with a strong motivation to grow in this area.</li>
<li data-section-id="f8now2" data-start="355" data-end="409">A keen interest in artificial intelligence topics.</li>
<li data-section-id="476g0t" data-start="410" data-end="499">Desire to identify, analyze, and deploy the latest scientific advances in production.</li>
<li data-section-id="19df8lr" data-start="500" data-end="571">Strong Python development skills, with a focus on algorithm design.</li>
<li data-section-id="13hy73f" data-start="572" data-end="646" data-is-last-node="">Proficiency in French, as you will be working with legal data in French.</li>
<br><strong>Extras of the role π</strong><br><div>
<div>
<li>Like all engineers at Doctrine, you will join one of our cross-functional chapters β 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:</li>
<li><strong>Share knowledge</strong>: keep track of the state of the art, review scientific papers, continuous improvement, best practices, etc.</li>
<li><strong>Propose improvements</strong>: experiment with new tools, suggest new processes to implement.</li>
<li>You will also take part in <strong>recruitment</strong>: all individual contributors meet candidates through technic