Job Specifications
RWE Clean Energy, LLC
To start as soon as possible, full time, fixed term
Functional area: Engineering
Remuneration: Non-Exempt
The Machine Learning Research Intern will work at the intersection of atmospheric science, renewable energy, and advanced AI. This role focuses on developing diffusion models for mesoscale downscaling, ML-driven data-cleaning systems, and supervised learning approaches to quantify turbine performance losses from atmospheric conditions.
You will work on real operational datasets and contribute research that transitions into production systems used across large wind portfolios.
Role 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
Job Requirements and Experiences:
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 offered: Paid time off and Holidays.
Apply with just a few clicks: ad code 91708. Any questions? Contact HR: rwece_recruiting@rwe.com
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
RWE Clean Energy is the third largest renewable energy company in the United States, with a presence in most U.S. states from coast to coast. RWE’s team of about 2,000 employees in the U.S. stands ready to help meet the nation’s growing energy needs. With its homegrown and fastest-to-market product, RWE supports the goal of American Energy dominance and independence. To that end, RWE Clean Energy is committed to increasing its already strong asset base of over 10 gigawatts of operating wind, solar and battery projects, focusing on providing high-quality jobs. RWE invests in local and rural communities while strengthening domestic manufacturing supporting the renaissance of American industry. This is complemented by RWE’s energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).
About the Company
RWE is leading the way to a clean energy world. With its investment and growth strategy Growing Green, RWE is contributing significantly to the success of the energy transition and the decarbonisation of the energy system. Around 20,000 employees work for the company in almost 30 countries worldwide. RWE is already one of the leading companies in the field of renewable energy. RWE is investing billions of euros in expanding its generation portfolio, in particular in offshore and onshore wind, solar energy and batteries. It i...
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