Summer AI Applied Research Internship | Washington, DC

The Nuclear Company; Washington, Northern (District of Columbia, KY); Hybrid; USD 24,797,000 - 27,552,000; Full time

Benefits offered by this job

Housing provided

Relocation assistance

401k with company match

Job summary

The Nuclear Company in Washington DC is offering a 12-week Summer Data Science & Machine Learning Fellow on-site with housing. You will apply reinforcement learning and optimization to plan fleet-scale construction and capital allocation, building models with experts to inform real decisions.

Current MS or PhD students with Python and PyTorch skills, RL/forecasting experience, and a commitment to reproducible research are invited to apply. U.S.

Qualifications

• Currently pursuing an MS or PhD in a quantitative field such as CS, ML, OR, Applied Math, Economics, Statistics.

Responsibilities

• Formulate operational problems into modeling problems (MDP/optimization).
• Build and evaluate reinforcement learning or optimization models.
• Collaborate with nuclear industry experts to deploy decisions.
• Design reproducible experiments and maintain code.
• Coordinate production path with engineering for deployment and monitoring.

Skills

Python

PyTorch

Reinforcement learning

Optimization

Time-series forecasting

Experiment design

Education

MS or PhD in CS/ML/OR

Tools

PyTorch

Job description

The Nuclear Company in Washington DC is offering a 12-week Summer Data Science & Machine Learning Fellow on-site with housing. You will apply reinforcement learning and optimization to plan fleet-scale construction and capital allocation, building models with experts to inform real decisions.

Current MS or PhD students with Python and PyTorch skills, RL/forecasting experience, and a commitment to reproducible research are invited to apply. U.S.