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.
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.
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
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
Experience with CAD/3D software/libraries
Knowledge of computational geometry algorithms
Experience with MLOps tools and practices
We're reinventing how machines are designed and built, from the ground up.
Our mission: build the world's first truly functional hardware design agent. 3D modeling tools were the last major leap in this space, but the way we design parts today has hit its limit. It's time for something radically better, and we're at the start of it.
As one of our first hires, you won't just execute the vision, you'll help shape it, with a competitive salary and stock options to match.
Job details are sourced from the employer's original posting.
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