Data Science Intern

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Micron Technology

We're accelerating the transformation of information to intelligence.

10,001+ employeesFounded 1978Boise, IdahoSemiconductor Manufacturing
Actively hiringPaidSemiconductor Manufacturing
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Best applied by Nov 27

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About the role#

As a Data Science Intern, you will work on artificial intelligence and machine learning projects that improve product development and optimization. You will join our engineering team to contribute to real-world projects while receiving mentorship from industry experts.

What you'll do#

  • Build and apply AI and ML solutions to support product development, validation, and optimization.
  • Work with engineering teams to identify domain challenges and create advanced data analysis methods.
  • Apply emerging data science techniques to solve complex problems.
  • Participate in mentorship and learning opportunities.

What you'll need#

  • Currently pursuing a Bachelor’s, Master’s, or PhD in Data Science, Computer Science, or a related field.
  • Coursework knowledge in predictive modeling, statistics, regression analysis, and deep learning.
  • Proficiency in Python, PyTorch, TensorFlow, or R.
  • Strong written and verbal communication skills in English.
  • Experience developing and deploying data science solutions, including data engineering, ML algorithms, UI/UX, and ML Ops.
  • Familiarity with Large Language Models, including fine-tuning, prompt engineering, and performance evaluation.
  • Understanding of agentic AI systems for autonomous workflows and task orchestration.

Location & details#

  • Locations: San Jose, California or Folsom, California.
  • Modality: On-site.
  • Employment: Full-time, paid internship.
  • Term: Rolling.

About Micron Technology

Micron Technology produces memory and storage solutions including DRAM, NAND, and NOR products. The company operates as a public organization with over 43,000 employees. Founded in 1978, it maintains its headquarters in Boise, Idaho. Micron serves various markets ranging from data centers to mobile devices.

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