WashingtonInternshipSoftware Development
Remotely
pythonsimulationdatareinforcement learningoptimizationpytorchtime seriesgraph neural networksmdp
Job Description
📋 Description
- Translate operational processes into modeling problems and justify approach.
- Build simulations or optimization models for fleet construction problems.
- Evaluate models and move toward deployed decision systems.
- Collaborate with nuclear industry experts to deliver practical solutions.
- Assist with production path: serving, monitoring, updates of models.
- On-site Washington DC internship for 12 weeks (May–August).
🎯 Requirements
- MS or PhD in CS, ML, OR, applied math, economics, or statistics; return to program after fellowship.
- Production-quality Python and PyTorch; solid ML fundamentals.
- Hands-on experience with RL, optimization, simulation, or forecasting.
- Ability to formulate real processes as MDPs or optimization models.
- Strong experimental design with reproducible code.
- Willingness to work on-site in Washington DC, five days a week.
🎁 Benefits
- Competitive compensation; base is $25/hr with housing stipend.
- 401(k) with company match.
- Medical, dental, vision plans.
- Generous vacation policy; holidays observed.
- Exposure to AI-first NOS and mission-driven team.