HPE Labs - AI/ML Research Scientist III

HPE Labs – AI/ML Research Scientist III Location: Onsite (primary work from an HPE office). Responsibilities Conduct original research in areas such as LLM reasoning and agents, reinforcement learning, multi‑agent systems, generative diffusion, inverse models, digital twins, trustworthy AI, tokenomics, optimization, and uncertainty quantification. Conceive, design, and develop novel technologies addressing challenges like holistic data‑center co‑optimization, nuclear fusion energy, AI‑driven acceleration of AI workloads, and trustworthiness of AI/LLM‑based systems. Develop novel methods for high‑assurance multi‑agent and multi‑objective real‑time control, LLM‑enabled explainable decision‑making, agentic frameworks, and diffusion‑model and inverse‑model approaches for design and optimization. Publish at leading venues (NeurIPS, ICML, ICLR, AAAI) and prepare patent disclosures to strengthen HPE’s IP portfolio. Bridge research and deployment by building robust software prototypes and engineering solutions for domains such as data‑center and private‑cloud optimization, clean‑energy systems, and large‑scale scientific computing. Architect and implement systems involving GPU acceleration, heterogeneous computation, model optimization, and real‑time data and streaming workflows to deliver AI capabilities at scale. Provide technical thought leadership within the core ML research team and across HPE, translating research insights into actionable technical roadmaps for technical and executive audiences. Collaborate with internal research teams, engineering organizations, and business units to align research outcomes with strategic priorities and create measurable value. Engage external partners—including academic institutions and industry collaborators—to amplify research impact. Mentor junior researchers and contribute to the development of the team’s collective expertise. Qualifications and Education PhD in Computer Science, Electrical Engineering, or a related field with a dissertation focused on Machine Learning. Extensive research experience with Large Language Models and Reinforcement Learning. Experience developing applications with deep‑learning frameworks such as PyTorch, with strong software proficiency. Strong programming skills in Python, including data‑structures and algorithms. Preferred Skills 1–3 years of post‑PhD research or industry experience (preferred but not required). Research and development experience involving LLMs, agentic AI platforms, reinforcement learning, and/or digital twins. Deep knowledge of deep‑learning model architectures, uncertainty quantification, optimization, and control. Experience with generative models, including diffusion and inverse models. Experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization. Benefits Health and wellbeing benefits, comprehensive suite of benefits supporting physical, financial, and emotional wellbeing. Personal and professional development programs and career resources. Unconditional inclusion and flexible work environment. Equal Employment Opportunity HPE is an Equal Employment Opportunity employer. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, disability, veteran status, or any other protected category. #J-18808-Ljbffr Hewlett Packard Enterprise Development LP