RWE · 3 hours ago
Machine Learning Research Intern
RWE Clean Energy, LLC is a leading renewable energy company in the United States, and they are seeking a Machine Learning Research Intern to work on innovative projects at the intersection of atmospheric science and advanced AI. The role involves developing machine learning models and data-cleaning systems to enhance turbine performance analysis using operational datasets.
EnergyEnergy StorageEnvironmental EngineeringIndustrialRenewable Energy
Responsibilities
Develop diffusion-based generative models for high-resolution wind field reconstruction and downscaling
Build supervised and unsupervised ML pipelines for cleaning meteorological time-series and metadata
Create supervised learning models to predict power-performance losses from atmospheric variables
Write clean, object-oriented Python code using TensorFlow/Keras and scientific libraries
Collaborate through GitHub with structured PRs, reviews, and version control
Work directly with domain experts and data owners to acquire and understand raw datasets
Use LLM tools productively for coding and debugging while remaining technically independent
Qualification
Required
Working on a degree in Business, Information Science/Technology, and a strong interest in renewables
Strong Python skills (TensorFlow/Keras, NumPy, Pandas, xarray)
Exposure to diffusion or generative models
Excellent grasp of object-oriented programming
Strong GitHub workflow experience
Comfort working with messy, real-world datasets
Strong written and verbal communication
Team-oriented, curious, and self-drive
Atmospheric science, physics, or energy systems background
Experience with mesoscale or reanalysis models (WRF, ERA5)
Knowledge of uncertainty quantification or physics-informed ML
Experience moving research into operational pipelines
Applicants must be legally authorized to work in the United States. RWE Clean Energy is unable to sponsor or take over sponsorship of employment visas at this time
Benefits
Paid time off
Holidays
Company
RWE
RWE is a provider of renewable energies as well as generating electricity, building storage facilities, and trading energy.
Funding
Current Stage
Late StageRecent News
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