<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>€80,000 - €120,000 + Equity</strong></p><p><strong>Munich, Germany (On-site)</strong></p><p><br/></p><p>We are representing a stealth-mode, venture-backed deep tech start-up based in Munich that is reimagining how physical components and hardware are designed. They are looking for a Machine Learning Engineer with a specialized focus on 3D geometry and generative modeling to build core systems that bridge the gap between AI and physical manufacturing.</p><p><br/></p><p><strong>What You'll Do</strong></p><ul><li>Research, build, and optimize advanced machine learning models for 3D shape understanding, manipulation, and generation.</li><li>Architect robust data pipelines capable of processing complex geometric formats into ML-ready representations.</li><li>Implement efficient training workflows for geometric deep learning and large-scale spatial models.</li><li>Own the end-to-end deployment of models into production, optimizing for speed and scale.</li><li>Collaborate closely with cross-functional teams to integrate generative capabilities into the core platform.</li></ul><p><br/></p><p><strong>What You Need</strong></p><ul><li>2+ years of ML experience in production</li><li>Strong proficiency in <strong>Python</strong> alongside core ML frameworks like <strong>PyTorch</strong> or <strong>TensorFlow</strong>.</li><li>Hands-on experience working with 3D spatial data</li><li>Background in computational geometry, CAD/CAM software libraries, or specialized MLOps infrastructure.</li></ul><p><br/></p><p><strong>Why Apply?</strong></p><ul><li>Meaningful <strong>equity</strong> ownership.</li><li>Shape the technical direction and core IP as an early foundational team member.</li><li>Solve hard, highly technical problems at the intersection of AI, computer vision, and physical engineering.</li></ul> </div>