Research Scientist, Language
Job Summary
Job Description
Google DeepMind seeks a Research Scientist with a PhD in NLP, ML, or related fields. Experience in multilingual modeling, multimodality, and large language models is preferred. Strong research publication record is essential. Passion for AI and language is a must.
Must have:
- PhD in NLP
- Research Publication
- Multilingual Modeling
- Large Language Models
Good to have:
- Multimodality
- AI and Language
- External Collaborations
- Responsible AI
Perks:
- Research Impact
- Google DeepMind
1 skill required
Job Details
About the job
Research Scientist: Language
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
The Languages team at Google Deepmind India is driven by a mission to make AI more linguistically inclusive. We push the boundaries of multilingual and multimodal Large Language Models (LLMs). Our work also encompasses modularity and composition, aiming to make LLMs more responsible and culturally aware. Furthermore, we prioritize methods for high quality data curation and representative evaluation to ensure that our advancements are inclusive and reflective of diverse linguistic contexts and user needs. In addition to fundamental research, we apply our research advances in critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI.
Key Responsibilities
In order to set you up for success as a Research Scientist at Google DeepMind India, we look for the following skills and experience:
At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
Snapshot
The Languages team at Google Deepmind India is driven by a mission to make AI more linguistically inclusive. We push the boundaries of multilingual and multimodal Large Language Models (LLMs). Our work also encompasses modularity and composition, aiming to make LLMs more responsible and culturally aware. Furthermore, we prioritize methods for high quality data curation and representative evaluation to ensure that our advancements are inclusive and reflective of diverse linguistic contexts and user needs. In addition to fundamental research, we apply our research advances in critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!
About Us
Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
The role
Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.
Having pioneered research in the world's leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI.
Key Responsibilities
- Design, implement and evaluate models, agents and software prototypes of language processing.
- Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet ambitious research goals.
- Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
- Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
In order to set you up for success as a Research Scientist at Google DeepMind India, we look for the following skills and experience:
- PhD in a technical field or equivalent practical experience.
- PhD in Natural Language Processing, Machine Learning, or related areas
- A proven track record of publications and relevant experience in one or more areas such as multilingual modeling, multimodality, Large Language models, evaluations, etc
- A real passion for AI and language!
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