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← The Nuclear Company

Spring 2027 AI Applied Research Internship

The Nuclear Company
Location
Washington, DC
Posted
1 month ago
Department
Software Engineering
What they actually want (must-haves)
  • Currently enrolled in a BS or MS in Computer Science, Data Science, Statistics, Applied Math, or a related technical field
  • Strong Python and the ML data stack (pandas, NumPy, scikit-learn)
  • Hands-on experience building ML pipelines and evaluating models; comfortable with time-series or forecasting problems
  • U.S. Person status (U.S. citizen or lawful permanent resident) required
  • Willing and able to work on-site in Washington DC, five days a week, for the full six-month term
Nice to have
  • Experience with MLflow, Kubeflow, or SageMaker; drift detection and production monitoring
  • Strong statistics, probability, and experimental design; SQL and relational data modeling
  • Familiarity with cloud data warehouses (Snowflake, Databricks, BigQuery); Palantir Foundry or AWS
  • Interest in energy, national security, industrial software, or regulated industries
  • Familiarity with nuclear engineering concepts
What the job really is

As an AI Applied Research Intern at The Nuclear Company, you will work on transforming raw data into production-ready machine learning models that support the construction of nuclear reactors. Your responsibilities include building ML pipelines, managing experiments, and ensuring model accuracy and monitoring. This internship is a full-time, on-site position in Washington, DC, for six months, where you will collaborate closely with engineers and contribute to significant projects in the energy sector.

Benefits
  • Competitive compensation packages
  • 401k with company match
  • Medical, dental, vision plans
  • Generous vacation policy, plus holidays
Things to weigh
  • On-site requirement in Washington DC may limit applicants from other locations
  • Internship duration is fixed at six months, with a specific start date in Spring 2027
  • No visa sponsorship available for this role
Job score2.6/5
Benefits2/5
Freshness3/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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