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AI Research Lab Research Associate

https://www.hpe.com/ Logo

Hewlett Packard Enterprise

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Location:
United States , Milpitas

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

43.27 - 93.15 USD / Hour
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Job Description:

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.

Additional Information:

Job Posted:
October 30, 2025

Expiration:
May 26, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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