AI & Software Innovation Intern – Onsite Lynchburg, VA

Framatome

Lynchburg (VA)

On-site

USD 34,000 - 44,000

Full time

6 days ago
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Benefits offered by this job

401k plan participation
Business Travel Insurance
Employee Assistance Program

Job summary

Framatome seeks an AI and Software Innovation Intern in Lynchburg, VA, onsite, to work on AI, full‑stack development, and data analytics within the Installed Base Business Unit. The role offers hourly pay between $24.70 and $32.30, plus potential bonuses, and opportunities to collaborate on cutting‑edge nuclear technology projects.

You will contribute to data collection and model development, engage with cross‑functional teams, and help advance innovative software solutions in a real-world

Qualifications

  • Pursuing BS/MS/PhD in Computer Science, Computer Engineering or Software Engineering.
  • Proficient in Python, C/C++, .NET, JavaScript with experience in ML frameworks and web tools.
  • Hands-on ML models, full‑stack apps, and AI research projects.
  • Strong data analysis with Pandas, Jupyter Notebooks, and MATLAB.

Responsibilities

  • Assist with the execution of AI projects, including data collection, preprocessing, and model development.
  • Collaborate with cross-functional teams to identify opportunities for AI applications within nuclear energy.
  • Conduct research to stay updated on the latest AI technologies and trends.
  • Develop and implement algorithms to solve complex problems and improve operational efficiency.
  • Participate in innovation workshops and brainstorming sessions to generate new ideas and solutions.
  • Support the preparation and presentation of project updates and findings to stakeholders.

Job description

Framatome seeks an AI and Software Innovation Intern in Lynchburg, VA, onsite, to work on AI, full‑stack development, and data analytics within the Installed Base Business Unit. The role offers hourly pay between $24.70 and $32.30, plus potential bonuses, and opportunities to collaborate on cutting‑edge nuclear technology projects.

You will contribute to data collection and model development, engage with cross‑functional teams, and help advance innovative software solutions in a real-world

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