About the role#
The Nuclear Company is building software to support the construction of nuclear reactors. You will join our team to develop models that impact real-world energy projects. As an intern, you will work alongside full-time engineers to take models from raw data to a deployed, monitored service. This is a full-time, six-month co-op position running from January to June 2027.
What you'll do#
- Source, clean, and explore data to build, evaluate, and deploy machine learning models.
- Build ML pipelines and manage experiments using tools like MLflow, Kubeflow, or SageMaker.
- Create forecasting and time-series models to track megaproject cost, schedule, and risk.
- Manage the full model lifecycle, including production monitoring, drift detection, and retraining triggers.
- Establish evaluation and validation frameworks to ensure results remain accurate and audit-ready.
What you'll need#
- Current enrollment in a BS or MS program in Computer Science, Data Science, Statistics, Applied Math, or a related technical field.
- Proficiency in Python and the ML data stack, including pandas, NumPy, and scikit-learn.
- Hands-on experience building ML pipelines and evaluating models through coursework, research, or previous projects.
- Ability to work on-site in Washington, DC, five days a week for the full six-month term.
- U.S. Person status (U.S. citizen or lawful permanent resident) is required due to U.S. export control regulations.
Location & details#
- Location: Washington, District of Columbia.
- Modality: On-site, five days a week.
- Term: Spring 2027 (January to June).
- Compensation: This is a paid internship.
How to get in at The Nuclear Company
Intern Insider's per-company playbook.
Applying early gives you a distinct advantage at The Nuclear Company because recruiters review submissions before the applicant pool grows too large. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you can be among the first to submit your materials. You save time by focusing your energy on the roles that matter most to your career goals. Reaching out to the right person often beats waiting in a digital queue. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral. This personal touch materially improves your response rates compared to a standard application.
