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We are currently seeking highly qualified interns to accelerate research towards new applications, core methodologies and technologies in Artificial Intelligence at HPE Labs. This research role focuses on developing solutions in areas of Deep Learning and Machine Learning, including Reinforcement Learning and Natural Language Processing. Researchers will collaborate with experts, build software systems for Neural Networks and Machine Learning, and contribute from ideation to technology transfer to practice.
Job Responsibility:
Conduct research and come up with solutions with a fast turnaround time
Build the software and applications for Neural Networks and Machine Learning
Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
Provide thought leadership and technical influence both internally and externally to HPE
Collaborate with HPE Labs research teams as well as external partners
Work in alignment with HPE's broader innovation community.
Requirements:
Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with Agentic AI and Generative AI workflows - desired
Experience in system software, GPU acceleration, DL model execution and performance optimization - desired
Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming
Experience with AI for science use cases and hybrid AI/HPC workflows - a plus
Experience in Python Web Frameworks – Django, Flask - a plus
Self-motivated, pro-active, with leadership qualities
Ability to work with ambiguity
Demonstrated effective communication and collaboration skills
Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.
Nice to have:
Experience with Agentic AI and Generative AI workflows
Experience in system software, GPU acceleration, DL model execution and performance optimization
Experience with AI for science use cases and hybrid AI/HPC workflows
Experience in Python Web Frameworks – Django, Flask
What we offer:
Health & Wellbeing benefits including physical, financial and emotional wellbeing support
Personal and professional development programs
Unconditional inclusion and flexibility to manage work and personal needs.
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