AI System SW/HW Co-design team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system such as models, algorithms, numerics, performance and AI hardware including compute, networking and storage. In essence, we drive the AI HW roadmap at Meta and ensure our existing and future AI workloads and software are well optimized and suited for the hardware infrastructure. Meta is seeking Research Scientist Interns to join our AI & Systems Co-Design Training team to help us explore and productionize state-of-the-art modeling, algorithmic, and systems technologies to achieve industry-leading results and efficiency in large-scale Generative AI and ranking/recommendation training jobs. In this role, you will work cross-functionally with internal software and platforms engineering teams to understand machine learning workloads, optimize their performance and communications, and iterate with infrastructure teams on hardware systems. You will employ cutting-edge optimization and data parallelization strategies to maximize training throughput for the next generations of LLMs and deep recommendation models. You will also work with external industry partners to influence their roadmaps and build the best products for Meta’s Infrastructure. Join our team and help shape one of the largest infrastructure footprints which powers Meta’s applications used by billions of people across the globe. Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.