- Spectral Labs
- San Francisco, CA
- Full-Time
- 27 days ago
- $150,000–$250,000
Research Engineer.
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Research Engineer: our view in 3 lines...
- The Role:This role is for an engineer who turns machine learning research ideas into tested deep learning models for engineering physical systems.
- The Person:The person will turn research ideas into experiments and models, implement architectures and training recipes, scale distributed training, build evaluation harnesses, and design how geometry becomes model input.
- Requirements:The ideal candidate has 0 to 2 years of experience building and training deep learning models, strong Python and PyTorch or JAX skills, and the fundamentals to understand why a training run diverged.
About the role
Spectral Labs is building foundation models for engineering physical systems. We're looking for research engineers to turn research ideas into experiments, and experiments into models that work on real CAD data: implementing architectures and training recipes, scaling distributed training, building evaluation harnesses, and designing how geometry becomes model input. You bring 0–2 years of experience building and training deep learning models, strong Python and PyTorch or JAX skills, and the fundamentals to understand why a run diverged, not only that it did. 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 $150–250k annually. Benefits include health insurance (with a 100%-premium option), dental, a 401(k) match, and company-expensed meals and commuting.