ERS Cell Modeling & Deep Learning Intern jobs in United States
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GM Performance Power Units ยท 1 week ago

ERS Cell Modeling & Deep Learning Intern

GM Performance Power Units is seeking an upper-level undergraduate intern to support the development of Python tools incorporating cell equivalent circuit models and deep learning methods. This role involves building and maintaining Python scripts, setting up and evaluating neural network models, and assisting with data organization and visualization for the engineering team.

AutomotiveElectric VehicleManufacturing

Responsibilities

Help build and maintain simple Python scripts and notebooks for cell data processing and analysis
Use PyTorch to set up, train, and evaluate straightforward neural network models under guidance from senior engineers
Assist with organizing test and simulation datasets and generating clear plots and summaries for the engineering team
Other duties as assigned

Qualification

PythonDeep LearningPyTorchMachine LearningData ScienceVersion ControlCuriosityCommunication SkillsCollaborative MindsetDetail Oriented

Required

Upper-level student in Mechanical Engineering, Chemical Engineering, Computer Science, Data Science, or a similar field
Completed at least one 300/3000 level (or higher) Deep Learning, Machine Learning, or Neural Networks course, with some hands on PyTorch experience
Solid Python skills and interest in batteries, electrochemistry, or energy storage applications
Good communication skills and a collaborative, learning oriented mindset

Preferred

Familiarity with version control systems (e.g., GitHub) for version control and collaborative design workflows
Hands-on experience, preferably for two years or more, in Formula SAE, Baja SAE, Formula Student, or a similar competitive student engineering program

Company

GM Performance Power Units

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GM Performance Power Units develops hybrid and electric powertrains for Cadillac's Formula 1 program.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase