Graduate Internship – AI/Machine Learning, Time Series Modeling

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🔥 1 minute ago

⛰️ Colorado – Remote

⛰️ Colorado – Remote

💵 $44.5k - $71.2k / year

👨‍🎓 Internship

⚪️ Entry-level

🤖 Machine Learning Engineer

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Advanced Energy Systems - Colorado School of Mines & NLR

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11 - 50 employees

Founded 2019

📚 Education

⚡ Energy

🔬 Science

Education • Energy • Science

Advanced Energy Systems - Colorado School of Mines & NLR is an interdisciplinary graduate engineering program created through a partnership between the Colorado School of Mines and the National Laboratory of the Rockies (NLR). The program educates and trains master’s and doctoral researchers to address the technical, economic, and environmental challenges of modern energy infrastructure, emphasizing secure, resilient, and adaptive systems. Students collaborate with faculty and NLR researchers, use shared state-of-the-art facilities, work with industry, government, and nonprofit partners, and prepare for careers solving large-scale energy-system problems.

📋 Description

• Pre-train and fine-tune frontier AI foundation models using HPC • Develop slide decks and reports related to scientific findings • Disseminate results through papers and presentations • Perform other responsibilities as determined • Work on frontier artificial intelligence foundation models for grid applications such as weather and grid forecasting within the Grid Innovation and Operations group • Conduct research and development supporting secure, reliable, affordable, and resilient electric grids

🎯 Requirements

• Minimum 3.0 cumulative grade point average • Undergraduate: enrolled full-time in a bachelor’s degree program from an accredited institution • Post Undergraduate: bachelor’s degree earned within the past 12 months • Graduate: enrolled full-time in a master’s degree program from an accredited institution • Post Graduate: master’s degree earned within the past 12 months • Graduate + PhD: completed master’s degree and enrolled as a PhD student from an accredited institution • Must meet educational requirements prior to employment start date • Official or unofficial school transcripts required with application • Letter of recommendation required if selected • Graduate student with frontier AI and machine learning for time series forecasting experience • Experience pre-training or fine-tuning large AI foundation models using HPC • Weather and/or energy forecasting experience • Experience building agentic AI workflows • Ability to obtain and maintain a federal Personal Identity Verification (PIV) card when applicable, including a favorable background investigation • Must pass a pre-employment drug test prior to commencing employment • Must submit an application form, cover letter, and resume for the position

🏖️ Benefits

• State-of-the-art systems and seasoned mentors • Professional development opportunities • Lecture series with world-class experts and top executives • Onsite tours of lab buildings • Intern clubs and personal interest groups • Medical, dental, and vision insurance • 403(b) Employee Savings Plan with employer match • Sick leave (where required by law) • Potential eligibility for performance-, merit-, and achievement-based monetary awards • Potential eligibility for relocation expense reimbursement

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