Machine Learning Systems Research Intern, PhD,… at Red Hat · Boston

Summary: Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing technologies. They are seeking a highly motivated summer intern to join their Machine Learning Research Team, where the intern will work on AI inference and model optimization techniques. Responsibilities: - Research and implement techniques for LLM inference and LLM optimizations - Conduct experiments to evaluate the impact of optimization methods on model accuracy, latency, and throughput - Collaborate with researchers and engineers to integrate optimizations into real-world machine learning workflows - Document findings and contribute to technical reports, blog posts, or research publications Required Qualifications: - Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Machine Learning, or a related field - Strong programming skills in C++, CUDA, and Python - Experience with tensor math libraries such as PyTorch - Familiarity with AI model optimization techniques such as quantization (e.g., INT4, FP8), pruning, and knowledge distillation - Deep understanding and experience in GPU performance optimizations - Excellent knowledge of large language model architectures - Strong analytical and problem-solving skills - Excellent communication skills and ability to work in a team-oriented research environment Preferred Qualifications: - Background in efficient inference techniques for large-scale language models or computer vision models - Prior experience contributing to open-source ML frameworks or research publications - 1 or more co-authored papers at a top tier conference like NeurIPS, ICLR, ACL, CVPR, MLSys is a big plus Required Skills: C++, CUDA, Python, PyTorch, AI model optimization, Quantization, Pruning, Knowledge distillation, GPU performance optimization, Large language model architectures, Efficient inference techniques, Open-source ML frameworks, Analytical skills Internship Start Date: Start in 2026 Summer Benefits: Competitive stipend, Mentorship from leading experts in machine learning and model efficiency, Opportunity to contribute to research papers, patents, or open-source projects