AI/ML Research Scientist — Frontier AI & Systems

Zerto

Milpitas (CA)

On-site

USD 137,000 - 277,000

Full time

14 days+
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Job summary

Hewlett Packard Enterprise Lab is seeking an AI/ML Research Scientist III to advance foundational ML research in the San Francisco Bay Area. This onsite role combines theory with prototype development, focusing on LLMs, reinforcement learning, and trustworthy AI, with real-world applications in data centers and energy optimization.

You will publish at top venues, collaborate with world-class researchers, and influence HPE's research direction while mentoring team members.

Qualifications

  • PhD in Computer Science, Electrical Engineering, or a related field.
  • Extensive research experience with Large Language Models and Reinforcement Learning.
  • Experience developing applications with PyTorch and strong Python skills.

Responsibilities

  • Conduct original research in LLM reasoning, agents, reinforcement learning, agentic/multi-agent systems, generative diffusion models, inverse models, digital twins, trustworthy AI, tokenomics, optimization, and uncertainty quantification.
  • Conceive, design, and develop novel technologies addressing data center co-optimization, energy, water resources, power systems, waste heat recovery, fusion energy, AI-driven acceleration of AI workloads and quantum computing simulation.

Skills

LLM research
Reinforcement Learning
Python programming
Software proficiency
GPU/ HPC systems

Education

PhD in Computer Science, Electrical Engineering, or related field

Tools

PyTorch

Job description

Hewlett Packard Enterprise Lab is seeking an AI/ML Research Scientist III to advance foundational ML research in the San Francisco Bay Area. This onsite role combines theory with prototype development, focusing on LLMs, reinforcement learning, and trustworthy AI, with real-world applications in data centers and energy optimization.

You will publish at top venues, collaborate with world-class researchers, and influence HPE's research direction while mentoring team members.

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