Ai Data Foundation Research Engineer

HPE

Ft. Collins, Colorado, United States
Base: usd 126,500 - 240,500 in colorado; bonus/equ...
Hybrid
Generative ai research experience
Advanced ai model architectures
End-to-end ai/ml pipelines expertise
Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work with a culture that embraces flexibility, inclusion, and bold innovation

Job Summary

  • Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work with a culture that embraces flexibility, inclusion, and bold innovation.
  • The role involves developing methods for context discovery, multi-modal data representation, AI pipeline management, and foundation AI model development across various AI modalities including NLP, LLM, and computer vision.
  • HPE offers comprehensive health and wellbeing benefits, personal and professional development programs, and an unconditionally inclusive work environment.

Matching Summary

Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work with a culture that embraces flexibility, inclusion, and bold innovation.

Salary

Base: USD 126,500 - 240,500 in Colorado; Bonus/Equity: Variable incentives may be offered; Benefits: Comprehensive health and wellbeing benefits

Skills & Requirements

Must-have

  • Generative AI research experience
  • Advanced AI model architectures
  • End-to-end AI/ML pipelines expertise
  • AI model development lifecycle knowledge
  • Experience with agentic AI platforms
  • PhD in Computer Science related fields

Nice-to-have

  • Strong Python programming skills
  • C/C++ programming skills
  • CI/CD code development experience
  • Hybrid AI-HPC workflows knowledge
  • Knowledge graphs and infused learning
  • System software performance optimization
  • Containerized development and orchestration

Key Requirements

  • PhD in Computer Science or related fields
  • 3 years relevant industry experience
  • Research experience in Generative AI
  • Experience with ML/DL frameworks and MLOps
  • Experience with AI data management tools
  • Experience with agentic AI platforms

Work Rights

Not specified

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