Machine Learning/AI Graduate Student Intern: Developing State-of-the-Art Models

2 weeks ago


Los Alamos, New Mexico, United States Los Alamos National Laboratory Full time
About the Role

We are seeking a highly motivated and innovative PhD student in computer science, computer engineering, or applied mathematics with a focus on machine learning, artificial intelligence, and modeling to join our dynamic and collaborative team at Los Alamos National Laboratory.

Key Responsibilities
  • Develop state-of-the-art models leveraging machine learning, AI, and large language models
  • Contribute broadly to computer modeling efforts within the global security domain
  • Collaborate with a multidisciplinary team to advance research and development in machine learning and AI
Requirements
  • Strong background in machine learning and AI
  • Proficient programming skills in Python, R, Julia, Java, C#, and/or C/C++
  • Experience training machine learning models with frameworks such as PyTorch, TensorFlow, or JAX
  • Familiarity with Unity or Unreal Engine
  • Demonstrated ability to work effectively in a collaborative, multi-disciplinary scientific environment
Preferred Qualifications
  • Experience with large language models
  • Mathematical programming experience with tools like AMPL, GAMS, JuMP, and commercial/open-source solvers (Mosek, Gurobi, IPOPT, etc.)
  • Experience with augmented and virtual reality development environments: Unity or Unreal Engine
  • Ability to obtain a Q clearance, which typically requires U.S. citizenship
What We Offer
  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • A comprehensive benefits package, including medical, dental, and vision insurance
  • A 401(k) plan with a 6% matching contribution
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50-mile radius)


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