Research Scientist, Multilingual Large Language Models
Description For Research Scientist, Multilingual Large Language Models
Google is seeking a Research Scientist specializing in Multilingual Large Language Models to join their Technology & Society organization. This role focuses on advancing the development of multilingual AI technologies, including pre-training models, enhancing instruction-tuning datasets, and improving evaluation processes across multiple languages. The position combines cutting-edge research with practical applications, requiring both academic expertise and hands-on development skills. As a Research Scientist, you'll work on real-world problems in machine learning and natural language processing, while actively contributing to the research community through publications. The role offers the opportunity to collaborate with various research teams and partner with Google's production teams to implement new multilingual technologies. Google maintains a portfolio of research projects that balance fundamental research with product innovation, providing researchers the freedom to pursue impactful work while managing concrete deliverables. The ideal candidate will have a strong background in computer science, experience with LLMs, and a track record of research publications in the field.
Responsibilities For Research Scientist, Multilingual Large Language Models
- Author research papers to share and generate impact of research results across the team and in the research community
- Research and develop technology for improving multilingual Large Language Models (LLM) such as instruction-tuning, pre-training, multilingual reasoning
- Research and develop technology for pre-training LLMs for languages other than English
- Collaborate with other research teams to expand multilingual LLM technology
- Collaborate with Google first-party partner teams to deliver new multilingual technologies to production
Requirements For Research Scientist, Multilingual Large Language Models
- PhD in Computer Science, a related field, or equivalent practical experience
- Coding experience in Python, JavaScript, R, Java, or C++
- One or more scientific publication submission(s) for conferences, journals, or public repositories
- 2 years of coding experience in Python, JavaScript, R, Java, or C++ (preferred)
- 1 year of experience owning and initiating research agendas (preferred)
- Experience with modern Large Language Models (LLM) and generative models (preferred)
- Experience with multilingual LLMs (preferred)
- Recent publication track in related Generative Artificial Intelligence fields (preferred)
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