Principal Research Scientist

Conduct novel research to advance the state-of-the-art of efficiency optimizations across AI stacks: models, AI frameworks, cloud infrastructure, and hardware. Work with a small group of fellow researchers and product engineering teams to execute on practical innovation for real-world impact. Drive the end-to-end research agenda from establishing the problem definition to building algorithms and models, and act as a mentor for more team members. Publish and contribute to top scientific conferences and journals. Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 4+ years related research experience OR Bachelor's Degree in relevant field AND 10+ years related research experience OR equivalent experience. PhD in Computer Science, Statistics, Engineering, Mathematics, Physics, or related field AND 5+ years related research experience OR equivalent experience. Research experience and publications in top conferences/journals (NeurIPS, ICML, ICLR, AISTATS, ACL, EMNLP, NAACL, ISCA, MICRO, ASPLOS, HPCA, SOSP, OSDI, NSDI, etc.) in at least one of the following areas: natural language processing, statistics, machine learning, and optimization. Solid knowledge of state-of-the-art Large Language Models (LLMs), serving infrastructure, and their application in complex systems. Hands on experience in improving the design and efficiency of generative AI systems and related frameworks. Ability to work independently and in a team, take initiative and lead engagements as required.