Nrel
Research Engineer - Machine learning applications to power system operations
Golden, CO · Full-time
Sponsorship not specified$77k-$126kDetected 1 day ago
PythonAlgorithmsLinuxMachine LearningLLMsIntellectual PropertySystems EngineeringElectrical EngineeringPower ElectronicsResearchLeadershipCommunication
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About the role
- Posting Title Research Engineer - Machine learning applications to power system operations.
- Working at NLR NLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.
- Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration.
Responsibilities
- Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions.
- Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.
Requirements
- Relevant Master's Degree.
- Or, relevant Bachelor's Degree and 2 or more years of experience.
- Intermediate abilities and knowledge of practices and techniques.
- Beginning experience in project management.
- Or, relevant Master's Degree and 3 or more years of experience.
- Or, relevant Bachelor's Degree and 5 or more years of experience.
- General knowledge of other related disciplines.
- Demonstrated experience in management of projects.
- Additional Required Qualifications
- Must have a MS in computer science, electrical engineering, computer engineering or related fields.
Nice to have
- Proven records of research experience related to power systems and power system optimization
- With strong publication record
- Job Application Submission Window
- The anticipated closing window for application submission is up to 30 days and may be extended as needed.
- The candidate will work on research projects that use ML/AI to solve power system problems, specially with the focus on Large Language Models (LLM).
- Ideal candidate is expected to have in-depth knowledge and extensive research experience related to LLM and agentic AI.
- solid programming skillset and software development experience.
- Knowledge and experience about power systems is a plus.
Compensation
- $76,600 - $126,400
- Job Profile: Researcher III / Annual
- $83,600 - $150,500
- NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees.
- In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits
- Research Engineer - Machine learning applications to power system operations.
- We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.
- Benefits Summary
- Some positions may be eligible for relocation expense reimbursement.
- Limited-term positions are not eligible for long-term disability or tuition reimbursement.
Company info
- From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future.
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.
- Reasonable Accommodations
- E -Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.
This listing is sourced directly from Nrel's careers page and normalized into a canonical job model.