Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist

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Join to apply for the Hewlett Packard Labs - Post Doctoral Machine Learning Research Scientist role at Hewlett Packard Enterprise
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This role is onsite, primarily working from an HPE office.

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 value varied backgrounds and succeed here. We have flexibility to manage work and personal needs, make bold moves together, and are a force for good.

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 within the AI 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.

• 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.

• 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 high software proficiency.

• 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, 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, Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development {+ 5 more}.

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.

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.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have flexibility to manage work and personal needs, make bold moves together, and are a force for good.

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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 based on qualifications,…