ML Ops Intern: Production ML Pipelines; Hybrid

The Company

Cypress Creek Renewables is powering a sustainable future, one project at a time. We develop, finance, own and operate utility-scale and distributed solar and storage projects across the country. Fostering a diverse group of innovative thinkers from all backgrounds, Cypress people are drawn to work in a purpose-driven organization. We hope you will join us.

The Revenue Team at Cypress Creek is responsible for the multi-pronged revenue strategy and comprehensive optimization and risk management for the Company’s development pipeline and operating portfolio of solar and storage projects. The Team is responsible for Customer offtake relationships and strives to deliver innovative products that meet their needs in the dynamic renewable energy landscape.

The Revenue Team is seeking undergrad/graduate candidates for a 10–12 week paid internship in one of our office locations. We are looking for rising seniors, who want to spend the summer learning the ins and outs of the current US solar + storage landscape, as well as hone your energy market and analytical skills to support the design and implementation of an MLOps pipeline that productionizes machine learning models developed by our Analytics team.

This role will focus on building reliable, scalable infrastructure for model versioning, testing, deployment, monitoring, and retraining. The ideal candidate has hands‑on experience with Python, ML frameworks and familiarity with cloud environments and CI/CD workflows. This is a highly practical role that bridges research and production, ensuring our models are reproducible, observable, and ready for real‑world deployment. The Revenue Team has a strong desire to develop the intern who joins our team, with the hope of this opportunity leading to a full-time offer upon graduation.

Some sample projects you may work on include:

• Build productionization pipeline for the models
• Automate testing and deployment of models
• Model versioning & reproducibility framework
• Monitor and detect model degradation in prod

• Must be a rising senior (currently a junior) or in grad school.
• Prefer computer science, statistics, applied mathematics or software application development or coursework (include examples in cover letter or resume).
• Experience in Machine Learning frameworks and understanding of core ML concepts (model training, validation, overfitting, bias/variance, evaluation metrics).
• Familiarity with Git and collaborative software development workflows.
• Strong programming experience in Python, particularly for data processing and ML workflows (e.g., PyTorch, Tensor Flow).
• Ideally have a strong desire to work in clean energy / clean tech post college.

• Please discuss your interest in renewables and how you have taken steps to become more involved in (or deepen your understanding of) the industry during the past few years.
• Elaborate on any Machine Learning experience you have from full time or part time projects that you have done.

The preferred location for this role is Chicago, IL or NYC. Additionally, we are on a hybrid schedule 3/week.

The hourly rate for our undergraduate internships is $25/hr compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.

Cypress Creek Renewables is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace that is inclusive and values diversity, and we encourage candidates from all backgrounds to apply.

Please be aware of recruiting scams—official communications will only come from , we will never request personal or financial information, and any suspicious activity should be reported to