Seeking a Research Intern to develop computational infrastructure for brain-computer interface research using EEG data and deep learning. You'll work at the intersection of neuroscience and machine learning, building and optimizing pipelines, implementing experiments in PyTorch, and ensuring data quality. Ideal candidates are pursuing or recently completed a degree in CS or related fields, with strong Python skills, algorithm knowledge, and a problem-solving mindset. Responsibilities include developing pipelines, experimenting with parameters, collaborating with researchers, and documenting results. Preferred skills include experience with deep learning frameworks, signal processing, neuroimaging, and experimental design. Compensation is $30/hour USD, with corporate housing provided, and potential for full-time conversion based on performance.