Machine Learning Engineer Intern
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The role
As a Machine Learning Engineer Intern, you will develop neural decoders to boost BCI control speed and accuracy.
Design and implement ML models, analyze complex datasets, and derive actionable insights.
Collaborate with neuroscientists, physicians, and engineers to deliver user-ready BCI functionalities.
Focus on building reliable, scalable code and communicating results clearly to technical and non-technical stakeholders.
Preferred experience includes time series or unstructured data, and a strong foundation in ML fundamentals.
This role offers an opportunity to drive mission-critical impact in brain-computer interface projects.
Design and implement ML models, analyze complex datasets, and derive actionable insights.
Collaborate with neuroscientists, physicians, and engineers to deliver user-ready BCI functionalities.
Focus on building reliable, scalable code and communicating results clearly to technical and non-technical stakeholders.
Preferred experience includes time series or unstructured data, and a strong foundation in ML fundamentals.
This role offers an opportunity to drive mission-critical impact in brain-computer interface projects.
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