Research Engineer - Brain Computer Interface Models
Core
Building next-generation open-source EEG and brain-computer interface (BCI) models across the full lifecycle from data collection to training.
Role type
Research Engineer specializing in BCI models and foundation models for neural data
Builds
Open-source EEG and BCI models integrated into real-world applications
Domain
Artificial Intelligence, Brain-Computer Interfaces, Neural Data (EEG, MEG, fMRI)
Deliverable
production ML models
Required skills
PyTorch, Python, VAEs, GANs, diffusion models, contrastive learning, signal processing, time-series analysis, large-scale GPU cluster training, codebase contribution
Preferred skills
Machine learning research publications in well-respected venues, experience with multi-modal neural data
Technologies
PyTorch, Python, GPU clusters
Responsibilities
Design novel model architectures and training methodologies, optimize training stack performance, collect and preprocess EEG/BCI datasets, evaluate large-scale model training runs, integrate models into real-world BCI applications
Seniority
Mid-to-Senior, hands-on IC with research output