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.
What You'll Do
- Research, build, and optimize advanced machine learning models for 3D shape understanding, manipulation, and generation.
- Architect robust data pipelines capable of processing complex geometric formats into ML-ready representations.
- Implement efficient training workflows for geometric deep learning and large-scale spatial models.
- Own the end-to-end deployment of models into production, optimizing for speed and scale.
- Collaborate closely with cross-functional teams to integrate generative capabilities into the core platform.
What You Need
- 2+ years of ML experience in production
- Strong proficiency in Python alongside core ML frameworks like PyTorch or TensorFlow.
- Hands-on experience working with 3D spatial data
- Background in computational geometry, CAD/CAM software libraries, or specialized MLOps infrastructure.
Why Apply?
- Meaningful equity ownership.
- Shape the technical direction and core IP as an early foundational team member.
- Solve hard, highly technical problems at the intersection of AI, computer vision, and physical engineering.
