PhD Intern: AI Agents for AutoML in Time Series

Proctor & Gamble; Mason (OH); On-site; USD 83,000 - 85,000; Full time

Job summary

Procter & Gamble invites PhD intern candidates to join Corporate R&D for a 12-week, AI-agent-driven framework project focused on automating ML experiments for time-series data modeling.

The role emphasizes exploring AI agents to propose, execute, and analyze experiments, with emphasis on data preprocessing, model architecture, and hyperparameter selection, while comparing AI-driven research with traditional methods. Located in Mason, OH.

Qualifications

• Pursuing a PhD in CS, Computer Engineering, Data Science, Electrical Engineering, Statistics, or related field.
• Experience developing and evaluating machine learning or deep learning models.
• Hands-on experience with a deep learning framework such as PyTorch or TensorFlow.
• Proficiency in Python.
• Understanding of model training, validation, performance evaluation, and experimental design.
• Available to work a 12-week internship from May/early June to August in the summer of 2027, in Mason, OH.

Responsibilities

• Review existing literature and techniques in LLM-based AI agents, automated ML, and AI-enabled research systems.
• Prepare time-series datasets and establish a baseline model and evaluation pipeline.
• Design and implement an AI-agent-driven framework for proposing, executing, and analyzing ML experiments.
• Explore improvements in data preprocessing, feature representation, model architecture, training strategies, and hyperparameter selection.
• Implement validation, experiment-tracking, and reproducibility practices for AI-generated configurations or code.
• Compare AI-enabled and conventional experiments based on performance, reproducibility, throughput, and efficiency.
• Document the framework, experiments, results, limitations, and recommendations.
• Share insights and present final results to the broader R&D team.

Skills

Python

ML/DL modeling

Education

PhD in Computer Science/related field

Tools

PyTorch

TensorFlow

Job description

Procter & Gamble invites PhD intern candidates to join Corporate R&D for a 12-week, AI-agent-driven framework project focused on automating ML experiments for time-series data modeling.

The role emphasizes exploring AI agents to propose, execute, and analyze experiments, with emphasis on data preprocessing, model architecture, and hyperparameter selection, while comparing AI-driven research with traditional methods. Located in Mason, OH.