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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. 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. This team publishes in AI conferences, collaborates with top-tier institutions, and values innovative contributions.
Job Responsibility:
Provide thought leadership and technical influence both internally and externally to HPE
Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Publish in top AI conferences and workshops, including NeurIPS, AAAI, and ICML.
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.
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