Engineer, New Grad
- Location
- San Francisco
- Workplace
- On-site
- Compensation
- $150k – $220k + equity
About this role
Spectral Labs is building foundation models for engineering physical systems, and they are hiring new grads for raw ability rather than domain experience. The role is deliberately broad: machine learning, geometry, graphics, and AI, spanning geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support. They want real strength in one of those areas and curiosity about the rest.
What will you be doing?
Build and maintain geometry and data pipelines. Parse CAD, convert formats, extract features, and verify that what comes out matches what went in.
Write the evaluation harnesses and tooling that tell the team whether a model actually got better.
Support training and experiment runs. Instrument them, debug failures, and turn results into something readable at a glance.
Build internal tools that remove friction for everyone else.
Take well-scoped pieces of larger research and engineering efforts, then grow your scope as you earn it.
What happens next
Skip the application pile. I get you in front of the people who decide.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
When the company wants to meet, I get the call on your calendar. You just show up.
Culture & values
Team is small and talent dense
Founding members have experience at cutting-edge research institutions including Meta, Autodesk Research, Stanford, MIT, Samsung Research, and CMU
Founding members have founded quantitative trading firms and built generative design at Autodesk
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