AI/ML Engineer Intern — Build AI for the Nuclear NOS

The Nuclear Company; Washington; On-site; USD 58,000 - 70,000; Full time

Benefits offered by this job

Competitive compensation packages

401k with company match

Medical, dental, vision plans

Generous vacation policy

Job summary

The Nuclear Company is seeking an AI/ML Engineer Intern to contribute to NOS, the Nuclear Operating System, by shipping ML features and building AI agents used across projects. You will work with engineers and nuclear experts to deploy production-ready models and tools in a regulated, safety-conscious environment.

Based in Washington DC, this six-month coop runs January–June 2027, with on-site work five days a week and housing/relocation provided for non-DC residents.

Qualifications

• Currently enrolled in a BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field. Available for a full six-month term and returning to school afterward.
• Strong Python fundamentals and hands-on exposure to modern ML and LLM tooling (PyTorch, Hugging Face, or similar) through coursework or projects.
• A track record of shipping working software or ML projects (course projects, personal projects, or prior internships or co-ops). We care about what you've built, not just what you've studied.
• This position requires access to information and technology subject to U.S. export controls (including DOE 10 CFR Part 810 and NRC requirements). U.S. Person status (U.S. citizen or lawful permanent resident) is required, and TNC does not provide visa sponsorship for these roles.
• Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.

Responsibilities

• Ship ML and AI features inside NOS applications teams use every day: site evaluation, red flag analysis, scheduling, lessons learned, and the stakeholder and project tools running across active TNC projects.
• Build AI agents and agent workflows that operate against NOS data and tools, including the MCP interfaces and tool-use frameworks they depend on.
• Develop data pipelines and integrations across Palantir Foundry, AWS GovCloud, and more — and contribute to the data ontology so models and agents can use NOS data reliably.
• Build predictive and anomaly-detection models that support operations and engineering decisions, including time-series analysis of sensor and operational data from active projects.
• Help own model quality end-to-end: eval criteria, acceptance thresholds, and regression suites that keep NOS audit-ready and results reproducible; triage issues and root-cause failures.

Skills

Python

ML/AI development

Data analysis

Problem solving

Education

Bachelor's degree in CS/ML/Data Science

Tools

PyTorch

Hugging Face

Palantir Foundry

AWS GovCloud

Job description

The Nuclear Company is seeking an AI/ML Engineer Intern to contribute to NOS, the Nuclear Operating System, by shipping ML features and building AI agents used across projects. You will work with engineers and nuclear experts to deploy production-ready models and tools in a regulated, safety-conscious environment.

Based in Washington DC, this six-month coop runs January–June 2027, with on-site work five days a week and housing/relocation provided for non-DC residents.