Research Engineer, Multimodal Brain Signal AI

Sigma Nova is building foundational models for scientific signals (EEG, fMRI, ultrasound) and aims to extend to other domains. The architect of our Data & Training Factory will scale pre-training, fine-tune models, and engineer robust multimodal pipelines with a focus on data integrity and reproducibility.

The role requires 3–7 years in applied research, deep PyTorch knowledge, distributed training experience, and strong English communication for collaboration across teams. #J-18808-Ljbffr