AI/ML Engineer Intern — NOS Platform

Doist

Washington (District of Columbia)

On-site

USD 52,000 - 76,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation packages
401k with company match
Medical, dental, vision plans
Generous vacation policy

Job summary

The Nuclear Company in Washington DC is seeking an AI/ML Engineer Intern to work on the Platform Integration & AI/Data squad, focusing on LLM-driven workflows, retrieval-augmented generation, and agents that operate against NOS data. You will work alongside full-time engineers and nuclear domain experts, shipping real models to production.

This six-month co-op runs August–December 2026, fully on-site in DC, with housing and relocation provided for co-ops outside the DC metro area.

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).
  • This position requires U.S. export controls access; U.S. Person status is required and visa sponsorship is 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 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 tooling
LLMs
PyTorch
Hugging Face
Software shipping
On-site work

Education

BS in Computer Science/ML/Data Science

Tools

Palantir Foundry
AWS GovCloud
MLflow
SageMaker
Vertex AI

Job description

The Nuclear Company in Washington DC is seeking an AI/ML Engineer Intern to work on the Platform Integration & AI/Data squad, focusing on LLM-driven workflows, retrieval-augmented generation, and agents that operate against NOS data. You will work alongside full-time engineers and nuclear domain experts, shipping real models to production.

This six-month co-op runs August–December 2026, fully on-site in DC, with housing and relocation provided for co-ops outside the DC metro area.

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