Machine Learning Research Scientist, Hewlett Packard Enterprise

Machine Learning Research Scientist

Hewlett Packard Enterprise

Location:

United States, Milpitas

Category:

-

Contract Type:

Employment contract

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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