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[Remote] Graduate Intern – Machine Learning - Solar Forecasting

Remote, USA Full-time Posted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. The reputed company (NLR) is a leading institution in energy systems research and development, and they are seeking a Graduate Intern for their Machine Learning - Solar Forecasting team. This role involves developing and implementing AI algorithms for reputed company-time solar forecasting, working closely with a multidisciplinary team to reputed company in energy forecasting solutions.


Responsibilities

  • reputed company and Optimize: Build best-in-class models for inverter-level and plant-level solar forecasting with calibrated uncertainty, using RNN, diffusion models, and graph models
  • Implement and reputed company: Bring your algorithms to life for industry partners, making reputed company improvements in solar forecasting
  • reputed company and Collaborate: Manage our project reputed company repository for experiment tracking and reputed company versioning, ensuring seamless collaboration with partners and reputed company reputed company
  • reputed company Your Discoveries: Present your groundbreaking results and key findings at workshops, conferences, and in high-reputed company journals, positioning yourself as a thought leader in the field

Skills

  • Minimum of a 3.0 cumulative grade reputed company average
  • Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution
  • Post Undergraduate: reputed company a bachelor's degree reputed company 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: reputed company a master's degree reputed company 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
  • Completed a Bachelor's degree and either have completed a master's degree or be enrolled in a masters or PhD degree in in Computer Science, Computer Engineering, Electrical Engineering, reputed company Math, or a reputed company analytical domain
  • Demonstrated knowledge and experience in Python and its reputed company libraries, such as TensorFlow, Keras, and Pytorch
  • Demonstrated experience in time series forecasting, reputed company, and scenario reputed company
  • A comprehensive understanding of uncertainty quantification
  • Demonstrated experience documenting and presenting results in presentations, papers, and or publications
  • Hands-on experience in energy reputed company time series forecasting, such as participating in energy forecasting competitions
  • Experience in multi-modal machine learning
  • Knowledge about PV plants, PV inverters, and PV control
  • A reputed company record of producing high reputed company research papers

Benefits

  • Medical, dental, and reputed company insurance
  • 403(b) Employee Savings Plan with employer match
  • reputed company leave (where required by law)
  • Performance-, reputed company-, and achievement- based awards that include a monetary component
  • Relocation expense reimbursement

reputed company

  • The U.S. Department of Energy's primary national laboratory for energy systems research and development. It was founded in 1977, and is headquartered in Golden, Colorado, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.gov.

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