Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist
About The Position
Hewlett Packard Labs - Post Doctoral Machine Learning 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: We are currently 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 within the Artificial Intelligence Research Lab is hiring exceptional postdoctoral researchers to join our mission of advancing the frontiers of AI. We are developing cutting-edge techniques in Generative AI, Large Language Models (LLMs), Reinforcement Learning, and optimization, with transformative 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. Our lab operates at the intersection of foundational research and real-world deployment, providing researchers with a unique opportunity to translate innovative ideas into technologies that matter. Role and Responsibilities As part of the Artificial Intelligence Research Lab’s core ML research team, you’ll 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 what’s possible in applied ML This is a rare opportunity to innovate in an environment that combines the exploratory spirit of academia with the scale and impact of industry . You’ll collaborate with top-tier research institutions, national labs, and global AI initiatives, while working alongside a high-caliber team of ML researchers. We’re looking for researchers who are deeply curious, highly collaborative, and driven 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 not only publish in top venues but also help build the future of AI.
Requirements
- PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning.
- Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models.
- Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency.
Nice To Haves
- 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 machine learning frameworks (PyTorch required)
- Proficient in Python, with strong software development skills
- Publication record in top-tier ML/AI conferences or journals
- Accountability
- Accountability
- Action Planning
- Active Learning
- Active Listening
- Bias
- Business
- Calendar Management
- Coaching
- Computer Literacy
- Creativity
- Critical Thinking
- Design Thinking
- Empathy
- Follow-Through
- Group Problem Solving
- Growth Mindset
- Intellectual Curiosity (Inactive)
- Long Term Planning
- Managing Ambiguity
- Office Administration
- Policy and procedures
- Recordkeeping
- Risk Assessment
- Software Development + 5 more
Responsibilities
- 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 what’s possible in applied ML
Benefits
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
