AI Data Science / Software Engineering PhD Intern New 2027

The Role and Impact

As an AI Software Engineering PhD Intern, you will contribute to the design, development, and optimization of cutting-edge AI software solutions across domains such as computer vision, machine learning, and deep learning. You will 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. Your work will directly support Intel's technological advancements, giving you hands-on experience to develop skills while contributing to impactful projects in a collaborative environment.

Business group

Intel Foundry is dedicated to delivering world-class manufacturing and technology capabilities that support Intel's mission to create smart, connected systems. The group fosters innovation across hardware and software domains, driving advancements that enable efficient and scalable computing solutions. As part of this group, you will work on initiatives that enhance Intel's ability to deliver transformative products and solutions to customers worldwide.

Key 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.

Qualifications

• You must possess the below minimum qualifications to be initially considered for this position.
• Preferred qualifications are in addition to the minimum qualifications and are considered a plus factor in identifying top candidates.
• Experience listed below would be obtained through a combination of your schoolwork, classes, research, relevant previous job, and/or internship experiences.

Minimum Qualifications

• 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.

Preferred Qualifications

• GPA 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.

Additional information

Join us at Intel to contribute to technological advancements while building a rewarding and impactful career. Apply now to be a part of our extraordinary journey.

• Job Type: Student / Intern
• Shift: Shift 1 (United States of America)
• Primary Location: US, Oregon, Hillsboro

Posting Statement

Position of Trust

N/A

Benefits

• We offer a total compensation package that ranks among the best in the industry.
• It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
• Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $170,598.00-170,602.00 USD

• The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
• Our standard internship rates are based on your degree, location, and the job role.
• Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

• ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.