Physics-Based Generative AI Research Associate (Intern), Hewlett Packard Enterprise

Physics-Based Generative AI Research Associate (Intern)

Hewlett Packard Enterprise

Location:

United States, Santa Barbara

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

41.11 - 93.15 USD / Hour

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Job Description:

This role involves working on cutting-edge machine-learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics. The goal is to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data while delivering efficient hardware performance.

Job Responsibility:

Pushing the boundaries of what's possible with artificial intelligence
Creating cutting-edge machine-learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics
Revolutionizing AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data while delivering efficient hardware performance

Requirements:

Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields
Proficiency in Python
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Excellent understanding of neural networks, deep learning, and generative models
Excellent written and verbal communication skills
Ability to collaborate effectively across diverse teams

Nice to have:

Background in computational physics
Familiarity with combinatorial optimization techniques and algorithms
Experience with energy-based models
Experience with diffusion models
Experience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations

What we offer:

Health & Wellbeing
Personal & Professional Development
Diversity, Inclusion & Belonging

Additional Information:

Job Posted:

March 20, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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