What are the responsibilities and job description for the Machine Learning Systems Research Intern, PhD, Summer 2026 position at Red Hat?
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.
Responsibilities
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver 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.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
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.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.
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.
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.
- 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.
- 1 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 the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver 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.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
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.
Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.