Machine Learning and Generative AI Research Scientist

Machine Learning and Generative AI Research Scientist This role has been designed as 'Onsite' with an expectation that you will primarily work from an HPE office. You will conduct original research and develop novel technologies across areas, including LLM reasoning, agentic and multi-agent systems, reinforcement learning, generative diffusion modeling, digital twins, clean energy, and data center/private cloud optimization. The work includes multi-agent and multi-objective real-time control of complex physical systems, LLM-enabled explainable decision-making, agentic frameworks for cyber-physical systems, analytics and uncertainty quantification, and diffusion-model approaches for design and optimization.

Requirements

• PhD in Computer Science, Electrical Engineering, or related fields, focusing on Machine Learning for the dissertation.
• Extensive experience with Large Language Models, Generative Models, and Reinforcement Learning.
• Experience in developing applications with deep learning frameworks like PyTorch, with a high level of software proficiency.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Unconditional Inclusion