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Machine Learning Research Scientist

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Hewlett Packard Enterprise

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Location:
United States , Milpitas

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Category:
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Contract Type:
Employment contract

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Salary:

117500.00 - 270000.00 USD / Year
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Job Description:

This role focuses on cutting-edge research and development in Artificial Intelligence at Hewlett Packard Labs, with an emphasis on innovation in key areas such as reinforcement learning, Large Language Models (LLMs), and sustainability. A unique opportunity to bridge research and real-world applications in a dynamic work environment.

Job Responsibility:

  • conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
  • developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
  • providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
  • publishing in top conferences like NeurIPS, AAAI, and ACL
  • developing patent applications
  • software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

Requirements:

  • PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
  • extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
  • experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
  • strong programming skills in Python, data structures, and algorithms are required
  • experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
  • experience in Python Web Frameworks – Django, Flask - a plus but not required.

Nice to have:

  • experience in research and development in Large Language Models
  • experience in research and development in Reinforcement Learning and/or Digital Twins
  • experience and deep knowledge of different deep learning model architectures for time series, uncertainty quantification, optimization, and control.
What we offer:
  • a competitive salary and extensive social benefits
  • diverse and dynamic work environment
  • work-life balance and support for career development
  • health and wellbeing programs
  • personal and professional development programs
  • diversity, inclusion, and belonging initiatives.

Additional Information:

Job Posted:
March 20, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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