Zerto
Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist
Zerto, Milpitas, California, United States, 95035
Overview
Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist. This role is designed as onsite with an expectation to 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 todays complex world. We value varied backgrounds, offer flexibility, encourage bold moves, and strive to be a force for good. Job Description: We are seeking highly qualified, self-motivated post?doctoral candidates to accelerate research towards new applications, core methodologies, and technologies in Artificial Intelligence at Hewlett Packard Labs. The Core Machine Learning Research team is hiring postdoctoral researchers to advance AI frontiers, developing techniques in Generative AI, Large Language Models (LLMs), reinforcement learning, and optimization with applications in digital twins, agentic AI, nuclear fusion, sustainability, and trustworthy AI systems. Hewlett Packard Labs is the central research organization of Hewlett Packard Enterprise (HPE), focused on long?term, high?impact innovation at the intersection of foundational research and real?world deployment. Role and Responsibilities
As part of the Artificial Intelligence Research Labs core ML research team, youll work on: LLM and agentic architectures with refinements to enhance trust for complex applications and workflows. Multi-agent and multi-objective reinforcement learning for complex physical systems. Generative models and optimization for scientific domains such as inertial confinement fusion. Scalable, safe AI systems that push the boundary of whats possible in applied ML. This role offers an opportunity to innovate in an environment that combines the exploratory spirit of academia with the scale and impact of industry. Youll collaborate with top-tier research institutions, national labs, and global AI initiatives, alongside a high?caliber team of ML researchers. Were seeking researchers who are deeply curious, highly collaborative, and motivated to solve challenging problems. If you have a background in LLMs, RL, scientific machine learning, or AI safety, and are excited to shape the next wave of high?impact ML systems, we want to hear from you. At Hewlett Packard Labs, you will publish in top venues and help build the future of AI. Qualifications and Education Requirements
PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning. Extensive experience in deep learning research, preferably with Reinforcement Learning and Large Language Models. Experience developing applications with deep learning frameworks like PyTorch and strong software proficiency. Preferred Skills
Research experience in Large Language Models (LLMs) and/or Reinforcement Learning. Strong foundation in deep learning with high proficiency in data structures and algorithms. Hands-on experience with PyTorch and other leading ML frameworks (PyTorch recommended). Proficient in Python with strong software development skills. Publication record in top-tier ML/AI conferences or journals. What We Can Offer You
Health & Wellbeing We provide a comprehensive benefits suite to support physical, financial, and emotional wellbeing. Personal & Professional Development We invest in your career with programs to help you reach career goals, whether as a knowledge expert in your field or applying skills in another division. Unconditional Inclusion We are unconditionally inclusive, value varied backgrounds, offer flexibility, and strive to be a force for good. Equal Employment Opportunity Hewlett Packard Enterprise is an Equal Employment Opportunity employer. We do not discriminate on the basis of race, gender, or any other protected category, and decisions are based on qualifications, merit, and business need. Lets Stay Connected Follow @HPECareers on social channels for the latest on people, culture, and technology at HPE. #J-18808-Ljbffr
Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist. This role is designed as onsite with an expectation to 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 todays complex world. We value varied backgrounds, offer flexibility, encourage bold moves, and strive to be a force for good. Job Description: We are seeking highly qualified, self-motivated post?doctoral candidates to accelerate research towards new applications, core methodologies, and technologies in Artificial Intelligence at Hewlett Packard Labs. The Core Machine Learning Research team is hiring postdoctoral researchers to advance AI frontiers, developing techniques in Generative AI, Large Language Models (LLMs), reinforcement learning, and optimization with applications in digital twins, agentic AI, nuclear fusion, sustainability, and trustworthy AI systems. Hewlett Packard Labs is the central research organization of Hewlett Packard Enterprise (HPE), focused on long?term, high?impact innovation at the intersection of foundational research and real?world deployment. Role and Responsibilities
As part of the Artificial Intelligence Research Labs core ML research team, youll work on: LLM and agentic architectures with refinements to enhance trust for complex applications and workflows. Multi-agent and multi-objective reinforcement learning for complex physical systems. Generative models and optimization for scientific domains such as inertial confinement fusion. Scalable, safe AI systems that push the boundary of whats possible in applied ML. This role offers an opportunity to innovate in an environment that combines the exploratory spirit of academia with the scale and impact of industry. Youll collaborate with top-tier research institutions, national labs, and global AI initiatives, alongside a high?caliber team of ML researchers. Were seeking researchers who are deeply curious, highly collaborative, and motivated to solve challenging problems. If you have a background in LLMs, RL, scientific machine learning, or AI safety, and are excited to shape the next wave of high?impact ML systems, we want to hear from you. At Hewlett Packard Labs, you will publish in top venues and help build the future of AI. Qualifications and Education Requirements
PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning. Extensive experience in deep learning research, preferably with Reinforcement Learning and Large Language Models. Experience developing applications with deep learning frameworks like PyTorch and strong software proficiency. Preferred Skills
Research experience in Large Language Models (LLMs) and/or Reinforcement Learning. Strong foundation in deep learning with high proficiency in data structures and algorithms. Hands-on experience with PyTorch and other leading ML frameworks (PyTorch recommended). Proficient in Python with strong software development skills. Publication record in top-tier ML/AI conferences or journals. What We Can Offer You
Health & Wellbeing We provide a comprehensive benefits suite to support physical, financial, and emotional wellbeing. Personal & Professional Development We invest in your career with programs to help you reach career goals, whether as a knowledge expert in your field or applying skills in another division. Unconditional Inclusion We are unconditionally inclusive, value varied backgrounds, offer flexibility, and strive to be a force for good. Equal Employment Opportunity Hewlett Packard Enterprise is an Equal Employment Opportunity employer. We do not discriminate on the basis of race, gender, or any other protected category, and decisions are based on qualifications, merit, and business need. Lets Stay Connected Follow @HPECareers on social channels for the latest on people, culture, and technology at HPE. #J-18808-Ljbffr