Research Scientist Intern

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. We are seeking a highly motivated summer intern to join our Machine Learning Research Team. As an intern, you will work on cutting-edge AI model optimization techniques and contribute to research and engineering efforts that make AI models faster and more efficient. This is an exciting opportunity to gain hands-on experience in applied machine learning research while working with leading experts in the field. Responsibilities Research and implement techniques for model compression, quantization, and optimization 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 Requirements Currently pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Machine Learning, or a related field Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow Familiarity with AI model optimization techniques such as quantization (e.g., INT4, FP8), pruning, and knowledge distillation. Strong analytical and problem-solving skills Excellent communication skills and ability to work in a team-oriented research environment 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

Red Hat is the world's leading provider of enterprise open source solutions, including high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.