Accelerate research towards new applications, core methodologies and technologies in Artificial Intelligence at HPE Labs.
Work with Machine Learning experts who have made multiple successful products and will get guidance and coaching in different areas.
Building the software, and applications for Neural Networks and Machine Learning.
Working with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment.
Collaborate with HPE Labs research teams as well as with external partners.
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
Self-motivated, pro-active, with leadership qualities
Demonstrated effective communication and collaboration skills
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