AI/ML Engineer Intern, NOS Platform (On-Site DC)

The Nuclear Company; Washington, Northern (District of Columbia, KY); Hybrid; USD 28,000 - 41,000; Full time

Benefits offered by this job

Housing provided

Relocation assistance

Job summary

The Nuclear Company is building the software stack for next-gen nuclear reactors in Washington DC. You will join the Platform Integration & AI/Data squad as an AI/ML Engineer Intern, handling LLM-driven workflows, retrieval-augmented generation, and NOS data tool-use.

You’ll ship real models, work alongside engineers and nuclear experts, and contribute to safe, scalable AI in production. This six-month co-op (Aug–Dec 2026) is on-site in Washington DC with housing and relocation support for those

Qualifications

• Enrolled in a BS in Computer Science, ML, Data Science, Statistics or related field; six-month term awaiting return to school.
• Strong Python and ML/LLM tooling experience through coursework or projects.
• Record of shipping ML or software projects; demonstrated impact matters.
• U.S. export controls apply; U.S. Person status required; visa sponsorship not provided.
• On-site commitment in Washington DC for the full term.

Responsibilities

• Ship ML/AI features inside NOS used by teams daily (evaluation, scheduling, lessons learned).
• Build AI agents/workflows that operate against NOS data/tools and MCP interfaces.
• Develop datapipelines and integrations across Palantir Foundry and AWS GovCloud; enhance data ontology.
• Create predictive and anomaly-detection models using sensor/operational data.
• Own model quality end-to-end with eval criteria, thresholds, and regression suites.

Skills

Python fundamentals

ML tooling

LLM tooling

Shipping ML projects

Education

BS in Computer Science or related field

Tools

Palantir Foundry

AWS GovCloud

AIP / Foundry exposure

Job description

The Nuclear Company is building the software stack for next-gen nuclear reactors in Washington DC. You will join the Platform Integration & AI/Data squad as an AI/ML Engineer Intern, handling LLM-driven workflows, retrieval-augmented generation, and NOS data tool-use.

You’ll ship real models, work alongside engineers and nuclear experts, and contribute to safe, scalable AI in production. This six-month co-op (Aug–Dec 2026) is on-site in Washington DC with housing and relocation support for those