Senior Research Scientist, Multilingual NLP At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms, and people. We welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.
Minimum Qualifications PhD in Computer Science, a related technical field, or equivalent practical experience. 7 years of experience in NLP, NLU, Machine Learning, LLMs, or a related field. Experience contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS). Experience with programming languages (e.g., Python or C/C++). Preferred Qualifications:
Experience in innovative research. Experience working with a research team. Ability to effectively navigate ambiguity. About the Job
As a Research Scientist, you'll set up large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
In this role, you will work on multilingual natural language processing for low-resource languages. This project aims to develop multilingual Large Language Models (LLMs) and their application to translation and semantic understanding tasks. You will build several existing/in-development datasets, construct additional resources, including multimodal text and audio, create novel evaluation datasets, compile and create new datasets, and develop algorithms for LLM training and evaluation.
Responsibilities
Design algorithms for model training and prediction. Manage experiments on TPU cloud. Write up results in design documents, technical reports, and papers for publication. Propose new research ideas and provide research leadership in the team. Google is committed to helping Aussies find new ways to collaborate, reach audiences, and get things done.
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