AMD is seeking to solve the world’s most important challenges by building great products that accelerate next-generation computing experiences, and is looking for a Machine Learning (ML)/ Artificial Intelligence (AI) intern to join their team and participate in research and development of next-generation product differentiation features
Requirements
- 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
- Familiarity with cloud (e.g., AWS, GCP, Azure)
Responsibilities
- 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
- 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
Other
- You are currently enrolled in a US based University into a PhD degree program majoring in computer science, computer engineering, data science / analytics, or a related field
- Onsite/Hybrid: 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
- Location: Austin, TX; Boxborough, MA; Fort Collins, CO (summer); or Longmont, CO (summer)
- Duration: Spring/Summer Co-op: January 26, 2026 - August 7, 2026 or January 26, 2026 - September 11, 2026
- 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
