Hewlett Packard Enterprise is seeking to advance research towards new applications, core methodologies, and technologies in Artificial Intelligence, specifically in areas such as Generative AI, Large Language Models, Reinforcement Learning, and optimization, with transformative applications in digital twins, agentic AI, nuclear fusion, sustainability, and trustworthy AI systems.
Requirements
- PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning.
- Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models.
- Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency.
- Research experience in Large Language Models (LLMs) and/or Reinforcement Learning
- Strong foundation in deep learning, with high proficiency in data structures and algorithms
- Hands-on experience with PyTorch and other leading machine learning frameworks (PyTorch required)
- Proficient in Python, with strong software development skills
Responsibilities
- LLM and agentic architectures with refinements to enhance trust for complex applications and workflows.
- Multi-agent and multi-objective reinforcement learning for complex physical systems
- Generative models and Optimization for scientific domains such as inertial confinement fusion
- Scalable, safe AI systems that push the boundary of what’s possible in applied ML
Other
- Accountability
- Action Planning
- Active Listening
- Bias
- Business
- Calendar Management
- PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning.
- Publication record in top-tier ML/AI conferences or journals
