Machine Learning Systems Research Intern, PhD, Summer 2026Dormont Manufacturing Company • Boston, Massachusetts, United States
Machine Learning Systems Research Intern, PhD, Summer 2026
Dormont Manufacturing Company
- Boston, Massachusetts, United States
- Boston, Massachusetts, United States
About
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.
Requirements
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.
Why work with us
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.
Equal Opportunity Policy (EEO) RedHat 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.
#J-18808-Ljbffr
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.