Machine Learning and Generative AI Research Scientist job opportunity at Hewlett Packard Enterprise.

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Hewlett Packard Enterprise Machine Learning and Generative AI Research Scientist
Experience: 3-years
Pattern: full-time
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loacation Spring, Texas, United States of America, United States Of America
loacation Spring, Texas,..........United States Of America

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. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description:     This Research Scientist role sits within the core Machine Learning research team at Hewlett Packard Labs, HPE’s primary research organization, based in the San Francisco Bay Area. The team is recognized for award-winning, top-tier publications and foundational contributions spanning reinforcement learning for complex systems, large language models (LLMs), agentic AI, generative diffusion models, trustworthy AI, optimization, and digital twins. As part of this team, you will 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. 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. You will be expected to 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. Success in this role also includes publishing at leading venues (e.g., NeurIPS, ICML, AAAI), and developing patent disclosures. The position is highly hands-on, involving software prototyping and engineering, GPU acceleration, model optimization, and real-time data/streaming workflows to deliver robust AI capabilities for production-relevant use cases. This is a rare opportunity to operate at the intersection of AI research and high-impact applications with world-class collaborators. This is an office-based role and the selected candidate will be working from HPE office in Spring, TX. Qualifications and Education 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. Preferred Skills 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. Strong programming skills in Python, data structures, and algorithms are required. 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. Additional Skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates Job: Engineering Job Level: TCP_03      "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 120,500 - 276,500 in Texas The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.     HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.     No Fees Notice & Recruitment Fraud Disclaimer   It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.   Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors  will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.   The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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