[Hiring] Year-Round Graduate Internship - AI/Machine Learning Time Series Modeling @National Laboratory of the Rockies

Role Description

We see our interns as the workforce of the future, helping us drive our mission and the nation forward.

• Gain access to state-of-the-art systems and seasoned mentors
• Strengthen skills through professional development
• Hear from world-class experts and top executives during our lecture series
• Learn about our lab buildings and the work going on by taking onsite tours
• Have fun and engage with other interns by joining clubs and personal interest groups

This internship position will be working on frontier artificial intelligent foundation models for grid applications, such as weather and grid forecasting within the Grid Innovation and Operations (GIO) group in the Power System Engineering Center (PSEC). NLR's Power Systems Engineering Center (PSEC) conducts high-impact research and development that provides practical solutions to enable secure, reliable, and affordable energy systems. This role will work under the Grid Innovation and Operations group which advances research and development across the power grid, spanning transmission, distribution, and grid-edge systems. We focus on pioneering digital twins, artificial intelligence, and other emerging technologies to transform how power grids are monitored, controlled, and operated. Through cutting-edge research and innovative solutions, we aim to enable a more reliable, secure, resilient, and affordable electric grid of the future.

• 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
• Other responsibilities as determined

Qualifications

• Minimum of a 3.0 cumulative grade point average.
• Undergraduate: Must be enrolled as a full-time student in a bachelor’s degree program from an accredited institution.
• Post Undergraduate: Earned a bachelor’s degree within the past 12 months. Eligible for an internship period of up to one year.
• Graduate: Must be enrolled as a full-time student in a master’s degree program from an accredited institution.
• Post Graduate: Earned a master’s degree within the past 12 months. Eligible for an internship period of up to one year.
• Graduate + PhD: Completed master’s degree and enrolled as PhD student from an accredited institution.

Requirements

• Graduate student with frontier AI, machine learning for time series forecasting experience
• Pre-training or fine-tuning large AI foundation models using HPC
• Weather and/or energy forecasting experience
• Experience building agentic AI workflows

Preferred Qualifications

• Published peer-review papers

Benefits

• Medical, dental, and vision insurance
• 403(b) Employee Savings Plan with employer match*
• Sick leave (where required by law)
• Performance-, merit-, and achievement-based awards that include a monetary component (not guaranteed)
• Some positions may be eligible for relocation expense reimbursement

Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range

Job Profile: / Annual Salary Range: $44,500 - $71,200

Badging Requirement

NLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation. Intern assignments extending beyond six months will be subject to this requirement.

Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.