• 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