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 RoleAs 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 ExpectBuild and optimize ML models for 3D shape understanding and generationDesign data pipelines that process CAD formats into ML-compatible representationsImplement efficient training workflows for geometric deep learningDeploy models to production and optimize for performanceCollaborate with product and engineering to integrate ML capabilitiesYour Profile2+ Years of working ML experienceStrong knowledge of PyTorch or TensorFlowExperience with 3D data representation (B-Reps, point clouds, meshes, voxels, implicit surfaces)Proficiency in Python and ML engineering best practicesProven track record of bringing ML models to productionNice To HaveExperience with CAD/3D software/librariesKnowledge of computational geometry algorithmsExperience with MLOps tools and practicesWhy Kyrall?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.
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