Develop and research novel machine learning algorithms for brain-computer interface applications. Improve brain activity identification, speed, accuracy, and muscle-artifact removal using real-time and large EEG datasets. Responsibilities include implementing and creating neural-network and other machine learning methods, rapidly prototyping features, collaborating with developers and the CEO, advancing intellectual property, documenting work, and contributing creatively in a fast-paced startup environment.

Translate Python code into C++ for API integration, parse brain-computer interface data, and support research and development through testing and refinement of Unity applications. The role also involves designing, building, testing, and maintaining reliable C++ code, improving code quality and automation, rapidly prototyping features, and documenting technical work in a fast-paced startup environment.