Machine Learning Research Intern

Job Description

Job Title: Machine Learning Research Intern

Company: RWE Clean Energy, LLC

Employment Type: Full-time, Fixed Term

Start Date: As soon as possible

Functional Area: Engineering

Remuneration: Non-Exempt

About the Role

The Machine Learning Research Intern will operate at the intersection of atmospheric science, renewable energy, and advanced AI. This dynamic role focuses on the development of cutting-edge solutions, including:

• Diffusion models for mesoscale downscaling.
• ML-driven data-cleaning systems.
• Supervised learning approaches to quantify turbine performance losses from atmospheric conditions.

You will engage with real operational datasets and contribute critical research that is intended to transition directly into production systems used across RWE’s extensive 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 utilizing TensorFlow/Keras and scientific libraries.
• Collaborate effectively through GitHub with structured Pull Requests (PRs), reviews, and version control.
• Work directly with domain experts and data owners to acquire and understand raw datasets.
• Utilize LLM tools productively for coding and debugging while maintaining technical independence.

Job Requirements And Experiences

Required:

• Currently pursuing a degree in Business, Information Science/Technology, coupled with a strong interest in renewables.
• Strong Python skills, specifically with libraries like 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 skills.
• Team-oriented, curious, and self-driven attitude.

Preferred (Highly Valued):

• Background in atmospheric science, physics, or energy systems.
• Experience with mesoscale or reanalysis models (e.g., WRF, ERA5).
• Knowledge of uncertainty quantification or physics-informed ML.
• Experience moving research into operational pipelines.

Legal Authorization & Benefits

Applicants must be legally authorized to work in the United States. RWE Clean Energy is currently unable to sponsor or take over sponsorship of employment visas.

Benefits offered: Paid time off and Holidays.

Application Process

Apply with just a few clicks using ad code 91708.

For any questions regarding this position, please contact HR at: rwece_recruiting@rwe.com

We look forward to meeting you. You can also find RWE on LinkedIn, Instagram, Facebook, YouTube, and Xing.

Equal Employment Opportunity

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.

About RWE Clean Energy

RWE Clean Energy stands as the third-largest renewable energy company in the United States, with a significant presence across most U.S. states from coast to coast. With a dedicated team of approximately 2,000 employees, RWE is committed to meeting the nation’s growing energy needs. Through its homegrown and fastest-to-market products, RWE supports the goal of American Energy dominance and independence. The company is focused on expanding its robust asset base, which already exceeds 10 gigawatts of operating wind, solar, and battery projects, while providing high-quality jobs. RWE invests in local and rural communities, strengthening domestic manufacturing and supporting the renaissance of American industry. This is further complemented by RWE’s energy trading business, and its role as a major offtaker of American liquified natural gas (LNG).

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