Google is seeking a Senior Research Scientist specializing in Multilingual NLP to join their research team in Sydney. This role focuses on developing cutting-edge multilingual Large Language Models (LLMs) with emphasis on low-resource languages. The position combines advanced research in natural language processing with practical applications in translation and semantic understanding tasks.
As a Research Scientist at Google, you'll be at the forefront of AI innovation, working with state-of-the-art technology including Tensor Processing Units (TPUs) and advanced machine learning frameworks. You'll have the opportunity to contribute to fundamental research while developing solutions that can impact billions of users worldwide.
The role involves creating and managing datasets, developing novel evaluation methodologies, and designing sophisticated algorithms for LLM training and evaluation. You'll work closely with cross-functional teams across Google, publishing your findings in top-tier research conferences and contributing to the broader scientific community.
This position requires a blend of theoretical knowledge and practical expertise, with opportunities to work on real-world problems spanning computer science, particularly in machine learning and natural language processing. You'll have the freedom to explore innovative ideas while maintaining focus on deliverable products and technologies.
The ideal candidate will bring a PhD in Computer Science or related field, substantial experience in NLP/ML research, and a strong publication record in prestigious conferences. You'll need excellent programming skills, particularly in Python, and the ability to lead research initiatives while collaborating effectively with team members.
Working at Google offers the unique opportunity to conduct groundbreaking research with access to unprecedented computational resources and datasets. You'll be part of a dynamic research community that values innovation, collaboration, and the pursuit of technological advancement that can make a real-world impact.