Senior Research Scientist, Multilingual NLP

Google Research is seeking a Senior Research Scientist specializing in Multilingual Natural Language Processing (NLP) to join their innovative team. This role combines cutting-edge research with practical applications, focusing on developing multilingual Large Language Models (LLMs) for low-resource languages.

The position offers a unique opportunity to work at the intersection of academic research and industrial applications. You'll be responsible for advancing the state-of-the-art in multilingual NLP, working with diverse datasets including multimodal text and audio, and developing novel evaluation methodologies for LLMs.

As part of Google Research, you'll collaborate with world-class researchers and engineers, contributing to projects that directly impact Google's products and services. The role involves designing and implementing sophisticated algorithms, managing large-scale experiments on TPU cloud infrastructure, and publishing research findings in top-tier conferences.

The ideal candidate will bring a PhD in Computer Science or related field, along with 7+ years of experience in NLP, Machine Learning, or LLMs. You should have a strong publication record in major conferences and excellent programming skills, particularly in Python.

This position offers the opportunity to shape the future of multilingual AI technologies while working with cutting-edge infrastructure and resources. You'll be part of a team that values innovation, collaboration, and impact, with the freedom to explore new research directions while contributing to real-world applications that affect users globally.

Google provides a collaborative research environment where you can pursue fundamental research while seeing your work deployed at scale. The role combines the intellectual freedom of academia with the resources and impact potential of a leading technology company. You'll have the opportunity to contribute to the research community through publications while working on projects that can revolutionize how we approach multilingual natural language processing.