PhD AI Agent-Driven AutoML Research Intern

Procter & Gamble; Glendale (CA); On-site; USD 83,000 - 85,000; Full time

Job summary

Procter & Gamble is offering a 12-week PhD internship in Corporate R&D in Mason, OH. You will develop an AI-agent-driven framework to automate ML experimentation for time-series data modeling, proposing and executing experiments, adjusting configurations, and analyzing results.

The role emphasizes literature review, reproducible baselines, and comparing AI-assisted research with conventional methods. Requires Python, PyTorch or TensorFlow, and a May/June–Aug 2027 summer timeline.

Qualifications

• Education: Working towards a PhD in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Statistics, or a 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.
• Ability to review technical literature, formulate research hypotheses, and translate ideas into reproducible experiments.
• Available to work a 12‑week internship from May/early June to August in the summer of 2027.
• Available to work 5 days a week in office at Mason, OH location.

Responsibilities

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

Skills

Python

Machine Learning

Deep Learning

Experiment design

Literature review

Education

Working towards a PhD in Computer Science/Engineering/Data Science

Tools

PyTorch

TensorFlow

Job description

Procter & Gamble is offering a 12-week PhD internship in Corporate R&D in Mason, OH. You will develop an AI-agent-driven framework to automate ML experimentation for time-series data modeling, proposing and executing experiments, adjusting configurations, and analyzing results.

The role emphasizes literature review, reproducible baselines, and comparing AI-assisted research with conventional methods. Requires Python, PyTorch or TensorFlow, and a May/June–Aug 2027 summer timeline.