Role overview
A company that is building the infrastructure that powers next-generation multi-modal AI research is looking for a number of Research Engineers to design, optimize, and scale distributed training and inference systems supporting billion-parameter models across speech and language domains. Your responsibilities will include improving system performance, developing automated experiment pipelines, and ensuring high reliability for large-scale experimentation.
You'll combine expertise in PyTorch, distributed frameworks, and GPU optimization with a passion for accelerating AI discovery. This is an opportunity to make a measurable impact as you'll be building the systems that enable world-class researchers to push the boundaries of modern machine learning.