Obtenez une réponse de cet employeur
Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.
Spectral Labs is building foundation models for engineering physical systems in SF. This in-person role turns research ideas into experiments and experiments into models that handle real CAD data, implementing architectures and training recipes, and scaling distributed training.
We seek 0–2 years of deep learning model experience, with strong Python and PyTorch or JAX skills, plus fundamentals to diagnose divergence.
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. Compensation and equity total $150–250k annually. We sponsor visas end-to-end, and benefits include health insurance (with a 100%-premium option), dental, a 401(k) match, and company-expensed meals and commuting.