Senior Research Scientist, Multilingual Nlp
vor 1 Monat
Senior Research Scientist, Multilingual NLP corporate_fare Google
place Sydney NSW, Australia
Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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 an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
As a Research Scientist, you'll setup 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.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
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, and also construct several additional resources, including multimodal text and audio.
You will create novel evaluation datasets, compile and create new datasets, and develop algorithms for LLM training and evaluation.
Google Research is building the next generation of intelligent systems for all Google products.
To achieve this, we're working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists.
Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
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 proud to be an equal opportunity and affirmative action employer.
We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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