ML Engineering Intern
Cypress Creek RenewablesLocation not specified
Internship
Posted February 27, 2026
$25 - $25/hr
Apply Now
Application opens on company website
Job Description
This internship offers hands-on experience in the renewable energy sector, focusing on developing and deploying machine learning models and infrastructure for solar and storage projects, while providing exposure to energy markets and analytics within a purpose-driven organization.
Key Responsibilities
- Build and maintain scalable infrastructure for deploying, testing, and monitoring machine learning models.
- Develop and implement model versioning, reproducibility, and retraining frameworks.
- Automate the testing and deployment processes for machine learning models.
- Monitor model performance in production and detect degradation.
- Support the design and implementation of an MLOps pipeline to productionize machine learning models.
Requirements
- Must be a rising senior, currently a junior in college, and after this summer will be going into your senior year or in graduate school.
- Prefer candidates with coursework in computer science, statistics, applied mathematics, or software application development, with examples included in cover letter or resume.
- Experience in Machine Learning frameworks and understanding of core ML concepts such as model training, validation, overfitting, bias-variance, and evaluation metrics.
- Familiarity with Git and collaborative software development workflows.
- Strong programming experience in Python, particularly for data processing and ML workflows, including experience with frameworks such as PyTorch and TensorFlow.
- Ability to build reliable, scalable infrastructure for model versioning, testing, deployment, monitoring, and retraining.
- Experience in automating testing and deployment of models.
- Experience in building productionization pipelines for machine learning models.
- Experience in monitoring and detecting model degradation in production environments.
- Excellent communication skills to address questions in the cover letter regarding interest in renewables and steps taken to deepen understanding of the industry, as well as machine learning project experience.
- Availability to work in one of the specified office locations (Durham, NC; Washington, DC; NYC; San Francisco, CA) or on a hybrid schedule.
- Willingness to participate in a 10-12 week paid internship with an hourly rate of $25/hour, with compensation potentially varying based on qualifications, skills, competencies, experience, and location.
Benefits & Perks
Compensation rate of $25 per hour
Hybrid work schedule (3 weeks in-office)
Paid internship duration of 10-12 weeks
Potential for full-time employment after graduation
Ready to Apply?
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