Fall 2026 AI/ML Engineering Intern New Washington, 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 Companyis the fastest growing AI tech-startup in the nuclear and energy space, pioneering a fleet-scale approach to building the next generation of nuclear reactors. Through our design-once, build-many model, we're accelerating the deployment of safe, reliable, and affordable nuclear energy.

We operate with an AI-first mindset.Every employee is expected to leverage AI, technology, and the Nuclear Operating System (NOS) as integral components of their role to improve the quality, speed, and impact of their work. We expect every team member to continuously identify opportunities to automate workflows, enhance decision-making, improve processes, and contribute to the ongoing evolution of NOS as a strategic operating capability that enables The Nuclear Company to scale with excellence.

We hire people who are driven by purpose, thrive in ambiguity, and are energized by building what has never been built before.Our team combines intellectual curiosity with high agency, embraces candid feedback and continuous learning, and holds themselves and others to exceptional standards. Our values—Trust, Responsibility, Unity, Scrappiness, and Tenacity—guide how we hire, collaborate, and make decisions every day. They are not words on a wall; they are the standard by which we operate. Trust is the foundation of our safety culture, fostering intellectual honesty, accountability, and open communication, while our values challenge every team member to execute with urgency, humility, resilience, and an unwavering commitment to our mission.

About the role

The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, andthe climate.

You will build the AI that people use to build power plants. As an AI/ML Engineer Intern on the Platform Integration & AI/Data squad, you take real scope on the machine learning and agent capabilities inside NOS: LLM-driven workflows, retrieval-augmented generation, and agents that operate against NOS data and tools, plus the evals and monitoring that keep AI features safe in production. You work next to full-time engineers and nuclear domain experts, ship real models and features to production, and see your work put to use by the teams building plants.

This is a six-month co-op available inFall 2026(August to December), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area.

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 AIagentsand agentworkflows thatoperateagainst NOS data and tools,including the MCP interfacesand tool-use frameworks they depend on.
• Develop datapipelines 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 andanomaly-detectionmodels that support operations and engineering decisions, including time-series analysis of sensorandoperational data from active projects.
• Helpown model quality end-to-end:evalcriteria, acceptance thresholds, and regression suites that keep NOS audit-ready and results reproducible; triage issues and root-cause failures.

Required Experience

• 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.
• StrongPython fundamentals and hands-on exposure to modern ML and LLM tooling (PyTorch, Hugging Face, or similar) through coursework or projects.
• A track recordof shipping working softwareor ML projects (course projects, personal projects, or prior internships or co-ops). We care about whatyou'vebuilt, not just whatyou'vestudied.
• 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) isrequired, 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.

Preferred Experience

• Hands-on experience with LLMs and agents:prompting,fine-tuning,retrieval-augmented generation,evals,or tooluse (MCP or similar frameworks).
• Coursework or project experience with Palantir Foundryand AIP, AWS, or another major cloud platform — Foundry exposure is heavily weighted.
• Solid data fundamentals: comfortable doing exploratory data analysis and workingwithlarge,messy datasets, including time-series or sensordata.
• Exposure toMLOpstooling (MLflow,SageMaker,Vertex AI) or CI/CD for models.
• Interest in energy, national security, industrial software, or regulated industries.
• Familiarity with nuclear engineering concepts (notrequired,we teach the domain).
• Competitive compensation packages
• 401k with company match

Estimated Starting Salary Range

The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis. The actual pay offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Export Control
Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.