Machine Learning Systems Research Intern, PhD, Summer

Job Summary

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 inference and model optimization techniques, and contribute to research and engineering efforts that make LLMs 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.

• 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.

• 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.
• 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.
• One or more co‑authored papers at a top tier conference like NeurIPS, ICLR, ACL, CVPR, MLSys is a big plus.

• Hands‑on experience with state‑of‑the‑art AI inference optimization research.
• Mentorship from leading experts in machine learning and model efficiency.
• Opportunity to contribute to research papers, patents, or open‑source projects.
• Competitive stipend and potential for full‑time opportunities.

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

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