Draftaid · Toronto, ON, CA | Toronto, Ontario, CA · In-office · Posted 2mo ago
CAD 140k - CAD 200k
Go from 3D models to CAD drawings using AI
* DraftAid is building the intelligence layer for mechanical engineering. We started by auto-generating manufacturing drawings from 3D CAD parts. We are now building representations that enable us to go much further.
### What you'll do
* Design learned representations over a large corpus of 3D assemblies and their associated manufacturing drawings * Train and evaluate models that drive drawing generation decisions * Build the data and training infrastructure from scratch: pipelines, eval harnesses, dataset curation * Integrate models into a production geometry engine written in C# * Own the full ML stack. There is no existing ML team; you are it * Own problems, not tickets
### What we're looking for
* Deep experience training encoder-decoder architectures and representation learning systems from scratch * Practical experience building with LLMs as components in larger systems * Comfort working with 3D data: meshes, B-rep, point clouds, or similar geometric representations * The ability to look at a messy, domain-specific corpus and figure out what signal is in it
### Nice to have
* Experience with 3D world models and spatial reasoning systems * Background in robotics perception, 3D reconstruction, NeRFs, or geometric deep learning * Familiarity with C# or TypeScript
### What we offer
* Flexible hours and hybrid in-office * Competitive salary and equity package. * Small team, high ownership