Machine Learning / Artificial Intelligence Intern/Co-Op (Graduate | Fall 2025 | Hybrid)

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

AMD together we advance_

An exciting internship opportunity to make an immediate contribution to AMD's next generation of technology innovations awaits you! We have a multifaceted, high-energy work environment filled with a diverse group of employees, and we provide outstanding opportunities for developing your career. During your internship, our programs provide the opportunity to collaborate with AMD leaders, receive one-on-one mentorship, attend amazing networking events, and much more. Being part of AMD means receiving hands-on experience that will give you a competitive edge. Together We Advance your career!

Job Details

• Location: Austin, TX
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in a hybrid or onsite work structure throughout the duration of the co-op/intern term.
• Duration: Septemeber 8, 2025 - December 12, 2025
  
  
  

What You Will Be Doing

We are seeking highly motivated Machine Learning (ML)/ Artificial Intelligence (AI) intern/co-op to join our team and participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers. In this role -

• We will help you learn innovative new technologies in Machine Learning | AI | High Performance Compute.
• We will train you to analyze and implement changes to algorithms to improve AI performance and user experiences
• We may assign you to one or more of the following project work -
• Work on machine learning techniques to build applications 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
• Support AI software teams with roadmap planning, collateral development, and customer engagements
  

Who We Are Looking For

• 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.
• If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply -
• Machine learning, data science, computer vision, statistics, and mathematics
• Programming in Python, C/C++
• Relational (SQL) and no-SQL databases.
• Machine learning algorithms and frameworks
• Deep learning / AI framework like Pytorch, Tensorflow, Caffe, etc.
• Familiarity with cloud (e.g., AWS, GCP, Azure) is a plus
  

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of intern opportunities, a recruiter will contact you.

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.