Hewlett Packard Enterprise

Hewlett Packard Enterprise

HPE Labs – AI/ML Research Scientist III

Milpitas, California, United States of America · Mid

Sponsorship not specified$137k-$277kDetected 8 days ago
PythonData StructuresMachine LearningDeep LearningPyTorchLLMsAgentic AIProduct StrategyIntellectual PropertyElectrical EngineeringPower ElectronicsResearchLeadershipCommunicationCollaboration

About the role

  • you will move from theory to prototype at a rapid pace.

Responsibilities

  • Conceive, design, and develop novel technologies addressing some of the most consequential challenges of our time, such as holistic data center co-optimization (computation, energy, water resources, power systems, waste heat recovery), nuclear fusion energy, AI-driven acceleration of AI workloads and quantum computing simulation on HPC systems, and trustworthiness of AI/LLM-based systems.
  • Develop novel methods for high-assurance multi-agent and multi-objective real-time control of complex cyber-physical systems, LLM-enabled explainable decision-making, agentic frameworks, and diffusion-model and inverse-model approaches for design and optimization.
  • Publish at leading venues (e.g., NeurIPS, ICML, ICLR, AAAI) and develop patent disclosures that strengthen HPE's intellectual property portfolio.
  • Bridge the gap between research and deployment by building robust software prototypes and engineering solutions that address use cases across 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 and under operational constraints.
  • Collaborate closely with internal research teams, engineering organizations, and business units across HPE to ensure research outcomes align with strategic priorities and create measurable value.
  • Engage with external partners, including academic institutions, national laboratories, and industry collaborators, to amplify research impact and maintain visibility within the broader research community.
  • Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages.
  • We have the flexibility to manage our work and personal needs.

Requirements

  • Strong programming skills in Python, including proficiency with data structures and algorithms.
  • Experience with generative models, including diffusion models and inverse models.
  • Experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization.

Nice to have

  • Preferred Skills
  • 1-3 years of post-PhD research or industry experience preferred, but not required.

Skills

  • 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.

Compensation

  • USD 136,500 - 276,500 in California
  • The listed salary range reflects base salary.

Benefits

  • Health & Wellbeing
  • Provide technical thought leadership within the core ML research team and across HPE by identifying, evaluating, and shaping emerging technology opportunities in AI and machine learning.

Company info

  • 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:
  • Hewlett Packard Labs, the central research organization of Hewlett Packard Enterprise, is seeking an AI/ML Research Scientist to join its core Machine Learning research team based in the San Francisco Bay Area. This team has an established track record of foundational contributions spanning reinforcement learning for complex systems, large language models and reasoning, agentic AI, digital twins, trustworthy AI, generative models, optimization, and tokenomics, with award-winning top-tier publications.
  • This role offers a rare opportunity to operate at the intersection of frontier AI research and high-impact, real-world applications such as sustainability of data centers, fusion energy, wave energy, and optimization of AI inference workloads and quantum computing. You will work alongside world-class researchers and collaborators, publish at premier venues, and directly influence HPE's research direction and product strategy. The position demands both scientific rigor and engineering excellence: you will move from theory to prototype at a rapid pace.
  • 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 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.
  • Hewlett Packard Labs, the central research organization of Hewlett Packard Enterprise, is seeking an AI/ML Research Scientist to join its core Machine Learning research team based in the San Francisco Bay Area.
  • This team has an established track record of foundational contributions spanning reinforcement learning for complex systems, large language models and reasoning, agentic AI, digital twins, trustworthy AI, generative models, optimization, and tokenomics, with award-winning top-tier publications.

Equal opportunity

  • Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
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This listing is sourced directly from Hewlett Packard Enterprise's careers page and normalized into a canonical job model.