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.

Qualifications and Education 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.

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 machine learning frameworks (PyTorch required)

Proficient in Python, with strong software development skills

Publication record in top-tier ML/AI conferences or journals

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning (Inactive), 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}

What We Can Offer You:

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Administration

Job Level:

N/A

    

States with Pay Range Requirement

The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html.

USD Hourly: $47.75 - $72.00

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 made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.