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Founding ML Engineer

Full-time

Draftaid

  • 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
Vacancy posted 21 days ago
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