AMD Undergraduate Machine Learning / AI Paid Internship 2026

AMD Undergraduate Machine Learning / AI Internship 2026 | Apply Now

Advanced Micro Devices, Inc. (AMD) is inviting applications for the 2026 Undergraduate Machine Learning / Artificial Intelligence Engineering Co-Op and Internship based in San Jose and Santa Clara, California. This full-time onsite or hybrid opportunity places students at the epicenter of the AI ecosystem to research, develop, and deploy next-generation ML/AI technologies alongside industry pioneers.

Particulars & Details

About the Role

At AMD, the mission is to build great products that accelerate next-generation computing experiences—from AI and data centers to PCs, gaming, and embedded systems. As an AMD ML/AI intern or co-op, you will be placed at the epicenter of the AI ecosystem, learning new skills, expanding your network, and gaining real-world experience on projects that impact millions of end-users worldwide.

Duties and Responsibilities

• Learn innovative new technologies in Machine Learning, AI, and High Performance Compute.
• Analyze and implement changes to algorithms to improve AI performance and user experiences.
• Work on machine learning techniques to build applications for source code analysis and Image Corruption Detection.
• Research, develop, and deploy machine learning-based and computer vision products on AMD's current and future hardware.
• Fix and address problems with deployed AI to improve user experience.
• Support AI software teams with roadmap planning, collateral development, and customer engagements.

Eligibility Criteria

• Educational Status: Currently enrolled in a U.S.-based University in a Bachelor's degree program.
• Field of Study: Majoring in Computer Science, Computer Engineering, Data Science / Analytics, or a closely related field.

Qualifications, Skills and Competencies

• Technical Concepts: Knowledge of machine learning, data science, computer vision, statistics, and mathematics.
• Programming: Proficiency in Python and C/C++.
• Databases: Familiarity with Relational (SQL) and No-SQL databases.
• AI/ML Frameworks: Experience with machine learning algorithms and deep learning frameworks like PyTorch, TensorFlow, or Caffe.
• Cloud Knowledge: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a strong plus.

Vacancy Details

Internship Conditions

• Schedule Options:
  • Summer/Fall Co-op: May/June 2026 through December 2026
  • Summer Internship: May/June 2026 through August/September 2026
  • Fall Internship: September 2026 through December 2026
• Visa Status: This role is not eligible for visa sponsorship.
• Work Structure: Requires full-time commitment (40 hours a week) in either a hybrid or onsite work structure throughout the duration of the term.

Application Fee

AMD does not charge any application, processing, or training fees during the recruitment process. Please be aware of recruitment scams (e.g., recruiters asking for fees or personal ID documents upfront).

Important Dates

• Date Posted: February 2026
• Application Deadline: Positions are filled on a rolling basis. Apply early.

How to Apply

• Visit the official AMD Careers portal using the link provided below.
• Ensure you meet the academic requirements and technical qualifications.
• Submit your application online by creating an applicant profile and uploading your resume.
• Note: By submitting your application, you indicate interest in AMD intern positions. If your experience aligns with any open opportunities, a recruiter will contact you.

Important Links

• Apply Online: Click Here to Apply
• AMD Careers: [amd.com/en/corporate/careers](https://www.google.com/search?q=https://amd.com/en/corporate/careers)

FAQs

• Where is the internship located? San Jose, CA or Santa Clara, CA (Onsite or Hybrid).
• Does AMD offer visa sponsorship for this role? No, this role is not eligible for visa sponsorship.
• Is the position paid? Yes, the targeted hiring range is between $64,064.00 and $96,096.00 per year (prorated for the internship duration).
• What programming languages are preferred? Python and C/C++ are highly preferred, along with frameworks like PyTorch and TensorFlow.

Disclaimer

This opportunity is shared for informational purposes only. We at 99jobs.org are not the organizing or recruiting institution. We do not accept or process applications and cannot influence selection decisions. Applicants must apply directly through the official organization website. Please verify all details from the official source before applying.

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