About the role

  • 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

Benefits

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Job title

AI Research Associate – Intern

Job type

Experience level

Entry level

Salary

$43 - $93 per hour

Degree requirement

Postgraduate Degree

Location requirements

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