Developer of a generative artificial intelligence technology designed to improve productivity for 3D professionals. Backed by Khosla Ventures.
About the role
Spectral Labs is building foundation models for engineering physical systems. We are hiring new graduates for raw ability, not domain experience. What we look for instead of heavy experience with CAD kernels and generative geometry is evidence that you teach yourself hard things quickly and finish them. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- This is a fully in-person, full-time role at our office in SF
- Graduating with a Bachelor’s or Master’s in Computer Science, Engineering, Math, Physics, or a related technical field, or graduated within roughly the last two years. You have a high GPA in a competitive undergrad program
- Real strength in at least one of machine learning, geometry, graphics, or AI, and genuine curiosity about the others
- Strong programming ability. You write Python and/or C/C++ comfortably
- Evidence that you finish hard things nobody assigned you: a substantial personal project, research you drove yourself, open-source contributions, competition results
- You love solving challenging problems
More about this role
Spectral Labs is building foundation models for engineering physical systems. We are hiring new graduates for raw ability, not domain experience. What we look for instead of heavy experience with CAD kernels and generative geometry is evidence that you teach yourself hard things quickly and finish them.
You’ll join our technical staff, and the role is deliberately broad. The work sits across machine learning, geometry, graphics, and AI: geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. We’re hiring a generalist, a real strength in at least one of those areas and genuine curiosity about the rest. You don’t come with a specialty yet, and that’s the point. A small team gives you the whole system, and you’ll find out where you’re strongest by working across it. You’ll get real problems early, and the people around you will help whenever you ask, but you’ll be the one steering.
This is a fully in-person, full-time role at our office in SF.
Building and maintaining pieces of our geometry and data pipelines, parsing CAD, converting formats, extracting features, and verifying that what comes out matches what went in,
Writing the...
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