HPE Labs - Machine Learning Research Associate (Intern)
About The Position
The Machine Learning research team at Hewlett Packard Labs seeks highly motivated Ph.D. student summer interns to work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning, and to bring in significant innovations in the trustworthiness of AI, digital twins, sustainability, complex scientific applications like nuclear fusion, clean energy, and other domains. Hewlett Packard Labs is an internationally renowned research organization with its headquarters and largest facility in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets. The Artificial Intelligence Research Lab focuses on researching and developing technologies, architectures, and software to develop cutting-edge solutions in key areas of Machine Learning, including Large Language Models, and Reinforcement Learning. This position is for the Artificial Intelligence Research Lab's core Machine Learning Research team. It focuses on complex, multi-objective, and multi-agent Reinforcement Learning and LLM agents as reasoning engines, with innovative applications to digital twins at scale, sustainability, complex clean energy generation, nuclear fusion, and similar complex problems. Much of our research is directed towards LLMs and Agentic mesh. Our work involves multiple external collaborations with premier research institutes, National Laboratories, NIST (AISIC), and universities. This is a unique opportunity to work at a start-up pace within a big company. You will have the chance to work with Machine Learning experts who have made multiple successful products, providing you with inspiration and guidance in different areas from the latest AI research to bring hardened Deep Learning solutions to the real world. We expect all our researchers, including interns, to provide thought leadership and technical influence both internally and externally to HPE. Your innovative ideas and contributions will be highly valued and will play a crucial role in making them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. This team publishes in top AI conferences and workshops, including NeurIPS, AAAI, and ICML, and has won multiple Best Paper awards at these prestigious events.
Requirements
- Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, statistics, etc.)
- Track record of world-class innovative contributions and ideas in machine learning.
- Experience in deep learning, LLM, Agentic AI, and reinforcement learning research
- Experience in developing deep learning software with high proficiency in data structures and algorithms.
- Experience in Machine Learning frameworks like PyTorch - required
- Strong programming skills and experience with Python
- Software development experience in Deep Learning, GPU acceleration, and Model Optimization.
- Demonstrated effective communication and collaboration skills
- Demonstrated ability for original research papers published in top-tier conferences or journals.
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
Career Level
Intern
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
