R&D PhD Summer Intern - AI Research Engineer

PGBPGNGLOBAL • Mason, OH

80d • $60 - $60

About The Position

Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1. This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2026. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products!

Requirements

• Working towards a PhD in Computer Science, Computer Engineering, or related field.
• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Experience in developing and deploying AI models or deep learning, machine learning, and applications.
• Proficiency in Python.
• TensorFlow and/or PyTorch experience.
• Available to work a 12-week internship from May/early June to August in the summer of 2026.
• The internship is 5 days per week (M-F) in office at our Mason, OH location.

Nice To Haves

• Langchain or Langraph application experience.
• Proficiency in FastAPI.
• Familiarity with docker container environments.

Responsibilities

• Develop AI agents using LLMs to automate complex tasks and generate creative solutions.
• Collaborate with R&D teams to integrate AI technologies into existing workflows.
• Deploy deep learning inference models on Python servers via FastAPI.
• Facilitate scalable and efficient processing of datasets through AI agent interactions.
• Provide insights and support decision-making processes using AI-driven analytics.

Benefits

• Salary + bonus (if applicable) + benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree