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Carboncopies FoundationCF

Remote ML Engineer Intern for Neural Data & Modeling

Carboncopies Foundation
United States only

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Carboncopies Foundation in San Francisco seeks a Machine Learning Engineering Intern for Summer 2026. This remote unpaid position is centered on applying classical machine learning to neural data analysis. The intern will engage closely with data scientists and neuroscientists, utilizing Python and ML libraries to develop predictive models. Responsibilities include algorithm implementation, feature engineering, and model evaluation. Gain mentorship, hands-on neurotechnology experience, and the chance for academic recognition in this innovative research environment.
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About the job

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Job type

Intern

Experience level

Entry-level

Location requirements

United States

Hiring timezones

United States +/- 0 hours

Job categories

Electrical & Energy EngineeringMachine Learning Engineer InternMachine Learning InternAI ML InternAI Engineering InternRemote Entry Level AI Engineer

Skills

PythonMachine LearningNeural Data AnalysisFeature EngineeringModel Evaluationpredictive modeling Remote

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About Carboncopies Foundation

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