Engineer New Grad
Spectral LabsAdded 2d ago
Save this job and browse the whole board.
No credit card needed
Quick summaryby newgrad.ai
What you'll do
- Develop data pipelines and geometry-based systems.
- Build evaluation tools and support model training experiments.
- Rotate across various technical areas to identify your strengths.
What they're looking for
- Recent graduates with degrees in STEM fields.
- Proficiency in Python or C/C++.
- Expertise in AI, machine learning, graphics, or geometry.
- Ability to learn complex topics independently.
Pay and perks
- Annual compensation and equity between $150,000 and $220,000.
- Health, dental, 401(k) matching, meals, and commuting support.
Spectral Labs is building foundation models for engineering physical systems. We're hiring new graduates for raw ability, not domain experience: you'll work across geometry and data pipelines, evaluation harnesses, internal tooling, and training and experiment support, and find out where you're strongest by working across the whole system.
You're graduating with a Bachelor's or Master's in computer science, engineering, math, physics, or a related field, or graduated within roughly the last two years, with real strength in at least one of machine learning, geometry, graphics, or AI, strong Python and/or C/C++, and evidence that you teach yourself hard things quickly and finish them. We're excited about people who can make an impact, whatever their background.
This is a fully in-person role at our office in SF. You must be currently based in the US to be eligible, and we are not able to sponsor visas for this role.
Compensation and equity total $150–220k annually.
Benefits include health insurance (with a 100%-premium option), dental, a 401(k) match, and company-expensed meals and commuting.
From Spectral Labs's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
Apply on Spectral Labs's site.
Apply nowListing wrong or expired, or you're the employer and want it removed? Let us know.