2026 PhD Machine Learning / Artificial Intelligence Engineering Co-Op/Intern

Position Overview

WHAT YOU DO AT AMD CHANGES EVERYTHING – At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers to PCs, gaming, and embedded systems. Grounded in a culture of innovation and collaboration, we push the limits of what’s possible while valuing direct, humble, and inclusive teamwork. As an AMD ML/AI intern/co-op, you’ll gain hands-on experience working alongside experts on impactful projects that reach millions of end-users – a real launchpad for your future.

• Location: San Jose, CA or Santa Clara, CA
• Work Structure: Full time (40 hours/week), hybrid or onsite
• Duration:
  • Summer/Fall Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
  • Summer Internship: May 18, 2026 - August 7, 2026 or June 22, 2026 – September 11, 2026
  • Fall Internship: September 14, 2026 – December 11, 2026

Key Responsibilities

• Learn innovative new technologies in Machine Learning, AI, and High Performance Computing.
• Analyze and implement modifications in algorithms to enhance AI performance and user experiences.
• Build machine learning applications for source code analysis and image corruption detection.
• Engage in research, development, and deployment of machine learning and computer vision products.
• Troubleshoot and resolve issues in deployed AI systems to improve overall user experience.
• Support AI software teams with roadmap planning, collateral development, and customer engagements.

Required Qualifications

• Currently enrolled in a U.S.-based University in a PhD program majoring in Computer Science, Computer Engineering, Data Science/Analytics, or a related field.
• Proficiency or experience in Machine Learning, Data Science, Computer Vision, Statistics, and Mathematics.
• Strong programming skills in Python and C/C++.
• Knowledge of relational (SQL) and NoSQL databases.
• Familiarity with machine learning algorithms and frameworks.
• Experience with deep learning/AI frameworks such as PyTorch, TensorFlow, or Caffe.
• Understanding of cloud platforms (e.g., AWS, GCP, Azure).

Benefits & Perks

• AMD benefits at a glance.