Procter & Gamble is looking to develop digital capabilities leveraging large language models (LLMs) to accelerate chemical hazard property predictions and document generation within their Fabric and Home Care business.
Requirements
- Data Science PhD intern
- leveraging large language models (LLMs)
- Develop an agentic AI system
- Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of LLM and prompts
- Analyze latest LLM innovations
- apply cutting-edge techniques
Responsibilities
- Partner seamlessly with our Fabric & Home Care Human Safety organization to work on projects leveraging LLMs.
- Develop an agentic AI system to accelerate chemical hazard property predictions and document generation for internal and external usage.
- Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of LLM and prompts and drive iterative enhancements.
- Analyze latest LLM innovations and explore opportunities to apply cutting-edge techniques for building high-impact solutions that enhance internal capabilities and deliver exceptional user experiences.
Other
- entry-level role for employees who are developing proficiency in their field.
- opportunity to grow and learn from experienced professionals in a supportive environment.
- strong eagerness to learn and grow professionally
- excellent communication skills—both written and verbal.
- forward-thinking mindset who thrive on overcoming challenges.
- contributions will make a real impact as part of a collaborative team!
