PhD AI/ML Vision Intern — On-Site R&D + Stock Benefits

Intel Corporation

Hillsboro (OR)

On-site

USD 171,000 - 172,000

Full time

5 days ago
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Job summary

Intel Corporation in Hillsboro, Oregon is seeking an AI Software Engineering PhD Intern to design, develop, and optimize cutting-edge AI software across computer vision, machine learning, and deep learning. You will implement and tune models and explore applied research opportunities in a collaborative environment.

The role also involves hardware-software integration to enable scalable AI solutions and requires collaboration with cross-functional teams to analyze data, derive insights, and

Qualifications

  • Pursuing a PhD in Data Science, AI, ML, Statistics, or related field.
  • Proficiency in Python programming and machine learning techniques.
  • Experience with data analysis and visualization.
  • Knowledge of statistical analysis and modeling techniques.
  • Experience with machine vision and image processing.
  • Familiarity with ML 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 solve real-world manufacturing and engineering problems.
  • Collaborate with cross-functional teams to analyze data, derive insights, and improve process efficiency.

Skills

Python programming
Machine learning techniques

Education

PhD in Data Science/AI/ML/Statistics

Job description

Intel Corporation in Hillsboro, Oregon is seeking an AI Software Engineering PhD Intern to design, develop, and optimize cutting-edge AI software across computer vision, machine learning, and deep learning. You will implement and tune models and explore applied research opportunities in a collaborative environment.

The role also involves hardware-software integration to enable scalable AI solutions and requires collaboration with cross-functional teams to analyze data, derive insights, and

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