ML Engineer - 3D Geometry for CAD(m/w/d)
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.
The Role
- 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
Nice to have
- Experience with CAD/3D software/libraries
- Knowledge of computational geometry algorithms
- Experience with MLOps tools and practices
Why Kyrall?
We're reinventing how machines are designed and built; from the ground up. Our mission: to build the world's first truly functional hardware design agent. The last major leap in this space was the shift to 3D modeling tools, but the way we currently design 3D models has reached its limit. Now is the time for something radically better.
Join us at the start of something transformative; shaping a product that could redefine how we create in the physical world. As one of our first hires, you'll not only shape the vision but also share in its success through a competitive salary and stock options.
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