R&D PhD Summer Intern: AI Agents for Automated Machine Learning Research
Core
Develop an AI-agent-driven framework to automate and accelerate machine learning experimentation for time-series data modeling.
Role type
PhD Research Intern (AI Agents & Automated ML)
Builds
AI-enabled research systems and automated experimentation pipelines
Domain
Consumer Packaged Goods, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch/TensorFlow), Python, time-series data modeling, experimental design, model validation, technical literature review
Preferred skills
Large language models, agentic workflows (LangGraph), automated machine learning, hyperparameter optimization, experiment orchestration
Technologies
PyTorch, TensorFlow, LangGraph, Arize
Responsibilities
Review literature on LLM-based AI agents and automated ML; Prepare time-series datasets and establish baseline models; Design and implement AI-agent frameworks for experiment execution; Explore improvements in data preprocessing and model architecture; Implement validation and reproducibility practices; Compare AI-driven vs. conventional experimentation approaches; Document results and present insights to the R&D team
Seniority
Intern (PhD candidate)