Summer 2027 AI Applied Research Internship

Added
4 days ago
Type
Internship
Salary
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Related skills

optimization python pytorch simulation reinforcement learning

๐Ÿ“‹ 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 (Mayโ€“August).

๐ŸŽฏ 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.

๐ŸŽ 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.

๐Ÿšš Relocation support

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