Machine Learning Engineer Intern
Core
Developing novel neural decoders to increase control speed, accuracy, and reliability of Brain-Computer Interfaces (BCIs) for paralyzed individuals and mute patients.
Role type
Machine Learning Engineer Intern
Builds
Next-generation human-ready Brain-Computer Interface (BCI) systems
Domain
Biomedical engineering / Neural interfaces
Deliverable
production ML models
Required skills
Machine learning model design and building, deep understanding of ML fundamentals, complex dataset analysis, clean and scalable code development
Preferred skills
Time series data analysis, unstructured data processing
Technologies
Neural decoders
Responsibilities
Design new BCI functionalities, develop machine learning solutions, collaborate with cross-functional teams including neuroscientists and engineers
Seniority
Intern
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