Job Description: Responsibilities & Requirements
In this role, you will work alongside our teams of AI researchers, linguists, and data scientists to broaden representation and access of currently under-represented languages in Natural Language Processing (NLP) via transformative models, efficient data collections, and community engagement.
As a research-focused Software Engineer, you will set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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 and data as open-source, and apply research to Google products.
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Responsibilities
- Contribute to an NLP research agenda focused on NLP for languages currently under-represented in technology.
- Work with a team of research scientists, engineers, linguists, and program managers to perform experiment design and drive data collections, develop improved evaluation methodologies, and contribute to machine learning algorithm improvements.
- Prepare high-quality research publications for peer-reviewed conferences and journals.
- Build (benchmark) datasets, environments, and systems to demonstrate AI capabilities and inspire research.
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In this role, you will work alongside our teams of AI researchers, linguists, and data scientists to broaden representation and access of currently under-represented languages in Natural Language Processing (NLP) via transformative models, efficient data collections, and community engagement.
As a research-focused Software Engineer, you will set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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 and data as open-source, and apply research to Google products.
ADVERTISEMENT CONTINUE READING BELOW
Responsibilities
- Contribute to an NLP research agenda focused on NLP for languages currently under-represented in technology.
- Work with a team of research scientists, engineers, linguists, and program managers to perform experiment design and drive data collections, develop improved evaluation methodologies, and contribute to machine learning algorithm improvements.
- Prepare high-quality research publications for peer-reviewed conferences and journals.
- Build (benchmark) datasets, environments, and systems to demonstrate AI capabilities and inspire research.