Neuroengineer Intern

Map neural correlates of sensory and internally generated states for next-generation brain–computer interfaces. Interns build machine-learning models that map neural activity to complex, multidimensional outputs and run experiments ranging from non-human primate electrophysiology to human fMRI.

Exceptional ability in neuroscience, machine learning, biomedical engineering or a related field, 2+ years of academic or industry experience and fluent Python. Preferred: modern ML including LLM interpretability, manifold analysis of neural population data, movement or speech decoding, human fMRI, and awake-behaving NHP or closed-loop BCI recordings. California hourly rate $35.