Machine Learning Research Intern

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

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.

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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. RWEs team of about 2000 employees in the U.S. stands ready to help meet the nations 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 RWEs energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).

Required Experience:

Intern

RWE Clean Energy LLCTo start as soon as possible full time fixed termFunctional area: EngineeringRemuneration: Non-ExemptThe 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 me...