What are the responsibilities and job description for the Machine Learning Research Intern position at RWE?
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:
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).
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
- 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
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).