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As a research scientist, you'll design self-supervised training objectives, stress-test approaches, build evaluation protocols, and write research memos to enhance understanding of EEG signals.

The Hardware Engineer will design and build EEG acquisition devices, create firmware for data streaming, evaluate existing hardware, and ensure data quality for ML models.

As a Research Engineer, you'll design and build the systems for preprocessing EEG data and experiment tracking for machine learning research, optimizing workflows for reproducibility and data integrity.

As a research intern, you will conduct experiments on EEG data, refine evaluation protocols, and document research findings while gaining exposure to advanced machine learning methodologies related to brain signals.