Staff Research Scientist, Machine Learning Efficiency

Google Research is seeking a Staff Research Scientist to lead their Machine Learning efficiency efforts, focusing on next-generation large language models architecture. This role combines cutting-edge research with practical applications, working closely with hardware engineers to co-design high-performance models and next-generation ML accelerators (TPUs). The position involves setting up large-scale tests, deploying innovative ideas, and managing crucial projects that span various computer science domains. The ideal candidate will contribute to the broader research community through publications and collaborations with universities worldwide. At Google Research, you'll be part of a team building intelligent systems for all Google products, working in a dynamic environment that adapts to fast-paced business needs. The role offers the opportunity to work with state-of-the-art technology while making significant contributions to the field of machine learning efficiency. Google maintains a strong commitment to diversity, equality, and inclusion, offering a collaborative environment where innovation thrives.