Summer 2027 AI/ML Engineering Intern

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    The Nuclear Company

    America’s nuclear infrastructure platform.

    51-200 employeesFounded 2023Washington, District of Columbia, United StatesNuclear Electric Power Generation
    Actively hiringPaidSummer 2027Nuclear Electric Power Generation
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    About the role#

    The Nuclear Company builds the software that makes modern nuclear power possible. You will join the Platform Integration and AI/Data squad to work on the Nuclear Operating System (NOS). This system manages the regulatory, supply chain, cost, and field work requirements for real reactor construction. You will build AI tools that help teams construct power plants.

    What you'll do#

    • Ship ML and AI features inside NOS applications used for site evaluation, scheduling, and project management.
    • Build AI agents and workflows that operate against NOS data and tools.
    • Develop data pipelines and integrations across Palantir Foundry and AWS GovCloud.
    • Build predictive and anomaly-detection models to support engineering decisions.
    • Own model quality end-to-end by developing evaluation criteria and regression suites to keep results reproducible.

    What you'll need#

    • Current enrollment in a BS program for Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field.
    • Strong Python fundamentals and hands-on experience with modern ML and LLM tooling.
    • A track record of shipping working software or ML projects.
    • U.S. Person status, as this role requires access to information subject to U.S. export controls.
    • Ability to work on-site in Washington DC, five days a week, for the full six-month term.

    Location & details#

    • This role is based in Washington, District of Columbia.
    • This is an on-site position.
    • The internship term is Summer 2027.

    About The Nuclear Company

    The Nuclear Company focuses on the modernization of nuclear construction. It works to deploy fleet-scale nuclear power across the United States. The company integrates existing reactor technologies with digital tools to lower costs and speed up deployment. Founded in 2023, the organization currently employs 161 people.

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