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

AMD

Salary not specified
Sep 19, 2025
Austin, TX, US
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AMD is looking to solve the business and technical problem of developing and differentiating next-generation products through the application of Machine Learning (ML) and Artificial Intelligence (AI). This involves research, development, and deployment of ML/AI-based features to enhance user experiences and improve product performance.

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

  • 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
  • Learn innovative new technologies in Machine Learning | AI | High Performance Compute
  • Participate in research and development of next-generation product differentiation features with extraordinary ML/AI engineers

Other

  • 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
  • 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 26, 2026 - August 7, 2026 or January 26, 2026 - September 11, 2026
  • Summer/Spring Co-op: May 18, 2026 - December 11, 2026 or June 22, 2026 - December 11, 2026
  • Spring Internship: January 26, 2026 – May 1, 2026