Research Internship

Red River•Boston, MA

About The Position

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.

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

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