Intern - Advanced Modeling and AI Solutions at Micron… · Boise

Summary: Micron Technology is a world leader in innovating memory and storage solutions. The AMAIS team is looking for an intern to support the development and prototyping of advanced physics-based and machine learning models, contributing to agentic AI systems that integrate with engineering workflows. Responsibilities: - Help architect and implement agentic AI workflows that use LLMs + tools to implement multi-step tasks (plan → act → observe) with minimal human intervention. Prototype RAG (retrieval-augmented generation) or knowledge-grounded assistants for domain-specific engineering questions and workflow automation. Benchmark agent/model behavior using structured evaluation approaches and iterate with feedback loops - Build simple, effective UIs (web apps, dashboards, internal tools) that present model/agent outputs in an engineer-friendly way (e.g., drill-down views, confidence indicators, recommended next actions). Implement data visualizations that help users quickly interpret results and take action - Develop and prototype physics-based and ML models to improve engineering workflows and decision-making (e.g., predictive/diagnostic models, automation accelerators). Work with real-world datasets (structured + unstructured) and build repeatable data preparation and training/evaluation workflows. Create clear visualizations and concise technical narratives to communicate model performance, limitations, and impact - Partner with engineers and data owners to scope problems, validate assumptions, and deliver end-to-end prototypes from idea to demo-ready artifacts. Write clean documentation and present progress in reviews/demos Required Qualifications: - Currently pursuing a BS/MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Applied Math/Physics, or a related field - Strong programming skills in Python (data wrangling, modeling, experimentation) - Familiarity with ML fundamentals (supervised/unsupervised learning, metrics, overfitting, validation) - Experience with ML frameworks such as PyTorch or TensorFlow - Coursework, projects, or hands-on experience with LLMs, RAG, and/or agentic workflows - Understanding of how agents operate as a sequence of actions using tools and observations (planning/execution loop concepts) - Experience building user interfaces using modern web tooling (e.g., component-based frameworks such as React, and common visualization patterns) - Ability to connect UI to APIs/services and present results clearly (tables, charts, interactive drilldowns) - Strong communication skills and the ability to translate technical work into clear, actionable updates Preferred Qualifications: - Familiarity with Code generation tools such as Claude a plus - Familiarity with agentic frameworks such as LangGraph or AutoGen (or similar orchestration frameworks) - Familiarity with structured evaluation tools/approaches for agent quality and reliability (e.g., evaluation harnesses, regression tests for prompts/agents) - Knowledge of numerical methods, physics-informed modeling, multiphysics, multiscale modeling, or ML - Familiarity in semiconductors/manufacturing terminologies and data, or high-dimensional datasets a plus Required Skills: Python, Machine Learning, UI Development Important Skills: Agentic Workflows, Data Visualization Nice-to-Have Skills: Communication Skills Benefits: Choice of medical, dental and vision plans, Benefit programs that help protect your income if you are unable to work due to illness or injury, Paid family leave, Robust paid time-off program, Paid holidays