Summer 2027 AI Applied Research Internship

Responsibilities Problem formulation: translate operational processes (construction scheduling, portfolio sequencing, security operations) into well-defined modeling problems and make the case for the right approach. Simulation and evaluation: build environments that faithfully represent these processes so models can be trained, evaluated, and iterated on. Modeling: develop reinforcement learning, optimization, or forecasting models for schedule optimization, capital allocation under uncertainty, or anomaly detection and alert prioritization. Empirical research: design rigorous experiments, keep reproducible codebases, and communicate results clearly to technical and non-technical stakeholders. Production path: work with engineering on how models are served, monitored, updated, and safely overridden in production. Required Experience Currently pursuing an MS or PhD in Computer Science, Machine Learning, Operations Research, Applied Math, Economics, Statistics, or a related quantitative field. Returning to your MS or PhD program after the fellowship (expected graduation December 2027 or later). Production-quality Python and PyTorch, with solid machine learning fundamentals. Hands-on experience (coursework, research, or projects) with at least one of: reinforcement learning, mathematical optimization, simulation and modeling, or time-series forecasting. Able to translate a messy real-world process into a tractable formulation (an MDP with sensible state, action, and reward, or an optimization model) and explain the modeling choice. Running pre-built models on clean benchmarks is not enough. Demonstrated ability to design, implement, and evaluate experiments, with reproducible research practices (version control, testing). 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) is required, 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 12-week program Preferred Experience Deep RL: policy gradient (PPO, SAC) or value-based (DQN, IQL) methods; offline / batch RL (CQL, IQL, TD3+BC, Decision Transformer). Combinatorial optimization with ML: graph neural networks for scheduling or routing, or neural combinatorial optimization. Multi-agent RL (MAPPO, QMIX) or stochastic / robust optimization (CVaR-constrained, chance-constrained, distributionally robust). Uncertainty quantification; a game-theory or behavioral-science perspective on decision-making. MLOps for models in production: serving, monitoring, retraining, and distribution-shift detection. Domain exposure: construction or infrastructure operations, energy or electricity markets, industrial control systems, or critical-infrastructure security.

Benefits Competitive

compensation packages 401k with company match Medical, dental, vision plans Generous vacation policy, plus holidays 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. Recruiting Fraud Alert Your safety is our priority. We want to ensure your job search stays secure. Please note that

the team at The Nuclear Company only communicates through official @thenuclearcompany.com email addresses. We will never ask for payments or sensitive financial information at any stage of our recruitment process. For your peace of mind, please verify all openings and submit your applications directly through our official careers page .

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