Summer 2027 PhD ML Systems Research Engineering Intern

AMD is a technology company advancing processors, artificial intelligence, and computing technologies. The company seeks a PhD ML Systems Research Engineering Intern to develop and optimize infrastructure for distributed training, reinforcement learning, inference, and model optimization, while collaborating with researchers and engineers to build production-quality ML systems.

Responsibilities:

• Develop and optimize infrastructure for distributed training, reinforcement learning, inference, and model optimization
• Build scalable systems for experiment management, rollout generation, model serving, and evaluation
• Improve training and inference efficiency through parallelism, scheduling, checkpointing, caching, and performance optimization
• Develop tools that integrate AI models with engineering systems, evaluation pipelines, and benchmarking frameworks
• Support experiment tracking, logging, monitoring, and reproducibility across ML workflows
• Analyze system performance and help identify improvements in reliability, scalability, and resource utilization
• Collaborate with researchers and engineers to translate experimental requirements into production-quality infrastructure
• Document system designs, experimental results, and technical implementations