2027 Masters Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op

About the role

As an AMD Co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Schedule

This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co-op/intern term.

• Spring/Summer Co-op: January 15, 2027 - August 13, 2027
• Summer Internship (Semester Students): May 24, 2027 - August 13, 2027
• Summer Internship (Quarter Students): June 21, 2027 - September 10, 2027
• Summer/Fall Co-op (Semester Students): May 24, 2027 - December 10, 2027
• Summer/Fall Co-op (Quarter Students): June 21, 2027 - December 10, 2027

Locations

Austin, TX; Boxborough, MA; Fort Collins, CO; Longmont, CO; Fishkill, NY; Rochester, NY

Responsibilities

• Participate in research and development of next-generation product differentiation features with ML/AI engineers.
• Learn innovative technologies in Machine Learning, AI, and High Performance Compute.
• Analyze and implement changes to algorithms to improve AI performance and user experiences.
• Potential project work may include:
  • Machine learning techniques for source code analysis and Image Corruption Detection.
  • Research, development, and deployment in machine learning-based and computer vision products on AMD’s current and future products.
  • Fixing and addressing problems with deployed AI to improve user experience.
  • Supporting AI software teams with roadmap planning, collateral development, and customer engagements.

Requirements

• Currently enrolled in a US-based University in a Master’s degree program majoring in computer science, computer engineering, data science/analytics, or a related field.
• Knowledge or experience in the following technical skills (or related areas):
  • Machine learning, data science, computer vision, statistics, and mathematics.
  • Programming in Python, C/C++.
  • Relational (SQL) and NoSQL databases.
  • Machine learning algorithms and frameworks.
  • Deep learning/AI frameworks like PyTorch, TensorFlow, Caffe.
  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure).

This role is not eligible for visa sponsorship.

Benefits

Benefits offered are described in AMD benefits at a glance.