Founding ML Engineer

About Draftaid

Go from 3D models to CAD drawings using AI

The role

* 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

Skills

• Python
• TensorFlow
• Torch/PyTorch