Senior Software Engineer, Natural Language Processing, Google Research

Google Research is seeking a Senior Software Engineer specializing in Natural Language Processing to join their team working on cutting-edge language technologies. This role sits at the intersection of research and practical application, focusing on advancing multilingual capabilities of Large Language Models used in key Google products like Gemini, Search, and Cloud Vertex AI.

The position offers a unique opportunity to impact technology used by billions of users daily through fundamental research and product development. You'll be working on sophisticated challenges in multilingual environments, including pre-training models, enhancing instruction-tuning datasets, refining evaluation processes, and optimizing multilingual tokenization.

As part of Google Research, you'll contribute to a team that values open sharing of research and tools, regularly publishing in academic journals and releasing open-source projects. The role requires a blend of technical expertise in software development, natural language processing, and machine learning, along with the ability to conduct and contribute to cutting-edge research.

The ideal candidate will bring strong software engineering fundamentals combined with specialized knowledge in NLP/LLM research. You'll have the opportunity to work on specific projects critical to Google's needs, with flexibility to evolve with the company's fast-paced environment. The role demands versatility, leadership qualities, and enthusiasm for tackling new problems across the full technology stack.

Working at Google means joining a company committed to developing advanced methodologies specifically for multilingual environments. You'll be part of a team that directly influences how billions of users interact with information globally, while having access to Google's vast computational resources and datasets. The position offers the chance to work on groundbreaking technology while collaborating with some of the brightest minds in the field.