Spring 2027 AI/ML Engineering Intern

About the Role

The Nuclear Company is pioneering a fleet-scale approach to building the next generation of nuclear reactors. We operate with an AI-first mindset, expecting all employees to leverage AI, technology, and the Nuclear Operating System (NOS) to improve their work. As an AI/ML Engineer Intern on the Platform Integration & AI/Data squad, you will build AI for people who build power plants, taking real scope on machine learning and agent capabilities within NOS. This includes LLM-driven workflows, retrieval-augmented generation, agents operating against NOS data and tools, and the evals and monitoring that keep AI features safe in production. You will work with full-time engineers and nuclear domain experts, ship real models and features to production, and see your work used by teams building plants. This is a six-month co-op from January to June 2027, aligned with the academic calendar. The role is based in Washington DC, on-site five days a week, with full housing and relocation for those outside the DC metro area.

Key Responsibilities

• Ship ML and AI features within NOS applications used daily: site evaluation, red flag analysis, scheduling, lessons learned, and stakeholder/project tools 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, contributing to the data ontology for reliable model and agent use of NOS data.
• Build predictive and anomaly-detection models supporting operations and engineering decisions, including time-series analysis of sensor and operational data.
• Own model quality end-to-end: eval criteria, acceptance thresholds, and regression suites to maintain audit-readiness and reproducibility; triage issues and root-cause failures.

Requirements & Tech Stack

• 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.
• Hands-on exposure to modern ML and LLM tooling like PyTorch, Hugging Face, or similar through coursework or projects.
• A track record of shipping working software or ML projects (course projects, personal projects, prior internships, or co-ops).
• Willing and able to work on-site in Washington DC, five days a week, for the full six-month term.

Qualifications

• Hands-on experience with LLMs and agents: prompting, fine-tuning, retrieval-augmented generation, evals, or tool use (MCP or similar frameworks).
• Coursework or project experience with Palantir Foundry and AIP, AWS, or another major cloud platform; Foundry exposure is heavily weighted.
• Solid data fundamentals: comfortable with exploratory data analysis and working with large, messy datasets, including time-series or sensor data.
• Exposure to MLOps tooling (MLflow, SageMaker, Vertex AI) or CI/CD for models.
• Interest in energy, national security, industrial software, or regulated industries.
• Familiarity with nuclear engineering concepts is not required.

Additional Information

• This position requires access to information and technology subject to U.S. export controls.
• U.S. Person status (U.S. citizen or lawful permanent resident) is required.
• The company does not provide visa sponsorship for these roles.

Compensation & Benefits

• Competitive compensation packages
• 401k with company match
• Medical, dental, vision plans
• Generous vacation policy, plus holidays
• Estimated Starting Salary: $25.00/hour plus a $2,000 monthly housing stipend.

Note: Actual pay may vary based on experience, qualifications, tenure, skill set, availability of candidates, geographic location, certifications, and other relevant criteria.