About the job
We are currently seeking highly qualified, self-motivated post-doctoral candidates to accelerate research towards new applications, core methodologies and technologies in Artificial Intelligence at Hewlett Packard Labs. The Core Machine Learning Research team within the Artificial Intelligence Research Lab is hiring exceptional postdoctoral researchers to join our mission of advancing the frontiers of AI. We are developing cutting-edge techniques in Generative AI, Large Language Models (LLMs), Reinforcement Learning, and optimization, with transformative applications in digital twins, agentic AI, nuclear fusion, sustainability, and trustworthy AI systems.
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
Qualifications
Minimum
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.
Preferred
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
Publication record in top-tier ML/AI conferences or journals