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 and we welcome Indigenous applicants. Please see our Reconciliation Action Plan (https://reconciliationactionplan.withgoogle.com/) for more information.

　　Minimum qualifications:

　　PhD in Computer Science, a related technical field, or equivalent practical experience.

　　2 years of experience in NLP, NLU, Machine Learning, LLMs, or similar areas.

　　Experience contributing to research communities including publishing in forums.

　　Experience in programming languages (e.g., Python or C/C++).

　　Preferred qualifications:

　　Experience in innovative research.

　　Experience working with a research team.

　　Experience in coding.

　　Ability to navigate ambiguity.

　　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.

　　As a Research Scientist, you will work on multilingual natural language processing for low resource languages. This project aims to develop multilingual Large Language Models (LLMs) for South East Asia, and their application to translation and semantic understanding tasks. You will build on several existing/in-development datasets, and will also construct several additional resources, including multimodal text and audio. You will be involved in creating novel evaluation datasets, compiling and creation of new datasets, and developing 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 engineers 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.

　　Develop code for data collection, cleaning, and processing.

　　Write code in Python with JAX, PAX.

　　Design algorithms for model training and prediction.

　　Manage experiments on TPU cloud.

　　Write up results in design documents, technical reports, and papers for publication.

　　Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.