Google Translate's mission is to reduce the language barrier by translating text and speech, making content more accessible to people. The job focuses on improving translation and non-English capabilities within large language models (LLMs), including training multilingual LLMs from scratch.
Requirements
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- Experience in machine translations or related Natural Language Processing tasks.
- Experience with Machine Learning or Evaluations.
- One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).
- 2 years of experience in coding.
- 1 year of experience owning and initiating research agendas.
- Experience with Machine Translation or Multilingual Natural Language Processing.
Responsibilities
- Work within a team on research problems that are important for Google Translate.
- Research novel techniques for improving translation quality via modeling, data selection, and model tuning.
- Design and conduct experiments for model quality improvements, analyze results, and determine steps for moving forward.
- Develop and invent new machine translation techniques that improve the translation quality of Google Translate.
- Invent reliable automatic and human evaluation methods for machine translation outputs, and integrate findings into the machine translation model.
Other
- PhD degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience in coding.
- 1 year of experience owning and initiating research agendas.
