Machine Learning Engineer

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.

• 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.

• 2+ years of ML experience in production
• Strong proficiency in Python alongside core ML frameworks like Py Torch or Tensor Flow
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• Hands‑on experience working with 3D spatial data
• Background in computational geometry, CAD/CAM software libraries, or specialized MLOps infrastructure.

• 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.