Knowledge Engineer/scientist - Phd

Procter & Gamble

Mason, OH, US
Base: $140,000.00 py; bonus/equity: not specified;...
Phd in engineering or computer science
Knowledge graphs and graph rags
Large language models (llms)
This role sits within the Digital Innovation subfunction to enable the Technical Community at Procter & Gamble

Job Summary

  • This role sits within the Digital Innovation subfunction to enable the Technical Community at Procter & Gamble.
  • You will utilize Large Language Models and knowledge graphs to build tools that step-change the speed and quality of innovation.
  • The position offers continuous mentorship, formal training, and ownership of work responsibilities from Day 1.

Matching Summary

This role sits within the Digital Innovation subfunction to enable the Technical Community at Procter & Gamble.

Salary

Base: $140,000.00 per year; Bonus/Equity: Not specified; Benefits: Salary + bonus + benefits

Skills & Requirements

Must-have

  • PhD in Engineering or Computer Science
  • Knowledge Graphs and Graph RAGs
  • Large Language Models (LLMs)
  • Full stack development skills
  • Operations research experience

Nice-to-have

  • Strong eagerness to learn and grow
  • Excellent written and verbal communication
  • Proactive attitude and adaptability
  • Publications in peer-reviewed journals
  • Passion for innovation and problem-solving

Key Requirements

  • PhD in Engineering with Systems Engineering/Computer Science background
  • Proficiency in Machine Learning and Generative AI
  • Familiarity with W3 standards, OWL, and SHACL
  • Strong background in mathematics
  • Immigration sponsorship not available

Work Rights

Not specified

Tailored Resume

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