AI/ML Engineer Intern — Co-op with Housing (DC)

Doist; Washington (District of Columbia); On-site; USD 72,000 - 80,000; 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 building the software NOS for the next generation of nuclear reactors in Washington, DC. You will join as an AI/ML Engineer Intern on the Platform Integration & AI/Data squad and own ML/LLM capabilities, including retrieval-augmented generation and agents working with NOS data and tools.

This six-month co-op runs Spring 2027 (Jan–June) with on-site housing/relocation for those outside the DC area.

Qualifications

• Currently enrolled in a BS in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or a related technical field.
• Strong Python fundamentals and hands-on exposure to modern ML and LLM tooling (PyTorch, Hugging Face, or similar).
• A track record of shipping working software or ML projects (course projects, personal projects, or prior internships or co-ops).
• This position requires U.S. export controls access; U.S. Person status required; visa sponsorship not provided.
• 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 MCP interfaces and tool-use frameworks.
• 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 basics

PyTorch

Hugging Face

ML project delivery

Education

BS in CS/ML

Tools

Palantir Foundry

AWS GovCloud

MLflow

SageMaker

Job description

The Nuclear Company is building the software NOS for the next generation of nuclear reactors in Washington, DC. You will join as an AI/ML Engineer Intern on the Platform Integration & AI/Data squad and own ML/LLM capabilities, including retrieval-augmented generation and agents working with NOS data and tools.

This six-month co-op runs Spring 2027 (Jan–June) with on-site housing/relocation for those outside the DC area.