ML Engineer - 3D Geometry for CAD (m/w/d)
MunichCompetitiveOnsite0 applicants
About this role
We're building the world's fastest way to design real, functional 3D parts. Kyrall's AI-powered design agent turns ideas into ready-to-manufacture 3D models in seconds.
Backed by top European VCs, we're a young, well-funded startup based in Munich and we're just getting started.
Responsibilities
- As a Machine learning Engineer specialized in 3D geometry, you'll develop models that understand, manipulate, and generate CAD parts. You'll work on challenging problems involving 3D representations, geometric relationships and manufacturability.
- What To Expect
- Build and optimize ML models for 3D shape understanding and generation
- Design data pipelines that process CAD formats into ML-compatible representations
- Implement efficient training workflows for geometric deep learning
- Deploy models to production and optimize for performance
- Collaborate with product and engineering to integrate ML capabilities
- Your Profile
- 2+ Years of working ML experience
- Strong knowledge of PyTorch or TensorFlow
- Experience with 3D data representation (B-Reps, point clouds, meshes, voxels, implicit surfaces)
- Proficiency in Python and ML engineering best practices
- Proven track record of bringing ML models to production