AI Data Science / Software Engineering PhD Intern New 2027

Intel•Hillsboro, OR
•$170,598 - $170,602•Onsite

About The Position

As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of AI software solutions across areas including computer vision, machine learning, and deep learning. You will implement and tune AI models for performance and accuracy, explore applied research opportunities, and work on hardware-software integration to support scalable and efficient AI solutions. The work supports Intel's technological advancements and provides hands-on experience in a collaborative environment. The role is part of Intel Foundry, which delivers manufacturing and technology capabilities supporting Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software and works on initiatives to improve Intel's ability to deliver products and solutions to customers worldwide. This position is based onsite in Hillsboro, Oregon. It is a student internship on Shift 1. The listed annual salary range is $170,598 to $170,602, and the posting notes that standard internship rates depend on degree, location, and job role.

Requirements

  • Must be currently pursuing a PhD degree in Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
  • Proficiency in Python programming and machine learning techniques.

Nice To Haves

  • GPA of 3.0.
  • Experience with data analysis and visualization.
  • Knowledge of statistical analysis and modeling techniques.
  • Experience with machine vision and image processing.
  • Familiarity with machine learning and statistical modeling of time-series data.

Responsibilities

  • Develop and optimize machine vision models for processing and analyzing image data.
  • Build statistical models to assess and predict risk and impact experienced by semiconductor wafers.
  • Apply machine learning and data science techniques to real-world manufacturing and engineering problems.
  • Collaborate with cross-functional teams to analyze data, derive insights, and improve process efficiency.
  • Implement and tune AI models for performance and accuracy.
  • Explore applied research opportunities and engage in hardware-software integration to enable scalable and efficient AI solutions.

Benefits

  • Competitive pay.
  • Stock bonuses.
  • Health programs.
  • Retirement programs.
  • Vacation.
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