Hewlett Packard Enterprise · 15 hours ago
Machine Learning and Generative AI Research Scientist
Spring, Texas, United States of America
Full-time
Onsite
Mid, Senior Level
$120K/yr - $276K/yr
1+ years expHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. The Machine Learning and Generative AI Research Scientist role involves conducting original research and developing novel technologies in areas such as large language models and generative diffusion modeling, while collaborating with internal teams and external partners to bridge research with real-world impact.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
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
Bridge frontier research with real-world impact, tackling challenges such as supercomputing and data center sustainability, nuclear fusion, and the trustworthiness of AI/LLM-based systems
Provide technical thought leadership, collaborate closely with internal teams and external partners, and contribute to funding opportunities and to HPE’s research and product strategy by identifying and shaping emerging technologies
Publish at leading venues (e.g., NeurIPS, ICML, AAAI), and develop patent disclosures
Engage in software prototyping and engineering, GPU acceleration, model optimization, and real-time data/streaming workflows to deliver robust AI capabilities for production-relevant use cases
Qualification
Required
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
Strong programming skills in Python, data structures, and algorithms are required
Preferred
1-3 years of experience preferred, but not required
Experience in research and development in Large Language Models, Agentic frameworks, and Generative models
Experience in research and development in Reinforcement Learning and/or Digital Twins
Experience and deep knowledge of different deep learning model architectures, uncertainty quantification, optimization, and control
Experience with Generative models is desired
Experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization is desired
Experience in Python Web Frameworks – Django, Flask - a plus but not required
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
10001+ employees
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Antonio Neri
President & CEO
Fidelma Russo
EVP & GM, Hybrid Cloud and Chief Technology Officer
Recent News
2026-01-20
2026-01-16
2026-01-16
Company data provided by crunchbase