AI ML Internship — From Data to Production in DC

The Nuclear Company

Washington, Northern (District of Columbia, KY)

Hybrid

USD 74,000 - 78,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
401k with company match

Job summary

The Nuclear Company in Washington, DC is building the software that enables the next generation of nuclear energy. As an AI/ML Intern, you will take models from raw data to production, building forecasting models, deploying them, and owning the full lifecycle, including pipelines, evaluation, and production monitoring for drift.

This is a six-month co-op available in Spring 2027 (January to June), with base location in Washington DC, on-site five days a week, and full housing/relocation provided

Qualifications

  • Currently enrolled in a BS or MS in Computer Science, Data Science, Statistics, Applied Math, or a related technical field.
  • Available for a full six-month term and returning to school afterward.
  • Strong Python and the ML data stack (pandas, NumPy, scikit-learn).
  • Hands-on experience building ML pipelines and evaluating models; time-series/forecasting from scratch.

Responsibilities

  • Take models from raw data to production: source, clean, explore data, then build, evaluate, and deploy.
  • Build ML pipelines and manage experiments with MLflow, Kubeflow, or SageMaker.
  • Build forecasting and time-series models for megaproject cost, schedule, and risk.
  • Own the full lifecycle and production monitoring, including drift detection and retraining triggers.
  • Establish model evaluation and validation for accuracy and audit-readiness.

Skills

Python
ML data stack
Time-series forecasting

Education

BS or MS in CS/DS/Applied Math

Tools

MLflow
Kubeflow
SageMaker
Pandas
SQL

Job description

The Nuclear Company in Washington, DC is building the software that enables the next generation of nuclear energy. As an AI/ML Intern, you will take models from raw data to production, building forecasting models, deploying them, and owning the full lifecycle, including pipelines, evaluation, and production monitoring for drift.

This is a six-month co-op available in Spring 2027 (January to June), with base location in Washington DC, on-site five days a week, and full housing/relocation provided

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