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Micron Technology

Makes memory and storage chips for AI and PCs

HBM Data Scientist Intern

Data ScienceConfirmed live in the last 24 hours
InternshipRichardson, TX, USANo salary listedIn-person

About the Job

Requirements

  • Currently pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Electrical Engineering, Computer Engineering, or a related quantitative field, with an expected graduation date between December 2027 and June 2028.
  • Have 0-2 years of relevant experience through coursework, research, internships, academic projects, hackathons, or data science competitions.
  • Have experience with Python for data analysis, including libraries such as Pandas, NumPy, or similar tools, and basic SQL for data extraction and preparation.
  • Have knowledge of statistics, machine learning fundamentals, hypothesis testing, regression, clustering, principal component analysis, and data analysis methodologies gained through coursework or projects.
  • Have experience using artificial intelligence technologies, large language models, AI agents, or generative AI platforms through academic, personal, or project-based work.

Responsibilities

  • Apply statistical and machine learning techniques, including time-series analysis, change-point detection, clustering, and dimensionality reduction, to identify trends and anomalies in semiconductor manufacturing data.
  • Develop and evaluate AI agents and large language model-enabled workflows by integrating analysis tools, designing prompts, and assessing model performance against known outcomes.
  • Extract, clean, integrate, and analyze data using SQL, Python, and analytical tools to support engineering investigations and decision-making.
  • Build reproducible analytics, visualizations, dashboards, and reporting solutions that provide actionable insights to engineering teams.
  • Present technical findings, recommendations, and limitations clearly to engineering partners while supporting continuous improvement initiatives.

Desired Qualifications

  • Have experience with time-series analysis, forecasting, anomaly detection, change-point detection, or statistical modeling techniques.
  • Be familiar with large language model agents, Retrieval-Augmented Generation, Model Context Protocol, LangGraph, prompt engineering, or AI workflow orchestration frameworks.
  • Have experience evaluating AI model performance, validating outputs, mitigating hallucinations, or developing AI-assisted applications and workflows.
  • Be proficient with data science and machine learning tools such as Scikit-learn, XGBoost, SHAP, SciPy, R, JMP, Plotly, or similar platforms.
  • Have experience applying analytics, machine learning, or AI technologies to manufacturing, engineering, scientific research, or other real-world datasets, with an interest in semiconductor manufacturing and industrial analytics.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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