Senior Software Engineer, Natural Language Processing, Google Research

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will research new modeling approaches for improving multilingual capabilities of Large Language Models used on key Google products like Gemini, Search, and Cloud Vertex AI (e.g., pre-training, instruction following, and cross-lingual tasks). You will also explore pre-training for target languages other than English and develop the infrastructure that supports this research. Our team is committed to developing advanced methodologies tailored specifically for multilingual environments. We focus on pre-training multilingual models, enhancing the quality of multilingual instruction-tuning datasets, refining multilingual evaluation processes, boosting knowledge transfer across languages, and optimizing multilingual tokenization, among other initiatives.

Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.