Research Scientist, Language, DeepMind
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Minimum qualifications:
- PhD in Natural Language Processing, Machine Learning, a related field, or equivalent practical experience.
- Experience with Python and neural network training.
- One or more scientific publication submissions for conferences, journals, or public repositories (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP).
Preferred qualifications:
- Experience with Large Language Model (LLM) pretraining, post-training, and inference using multilingual data.
- Experience in innovating on any aspect of LLM design and development to enhance multilingual, cross-lingual, or multicultural capabilities.
- Experience collecting human data for model evaluation.
- Experience in the implications of new developments in the field of LLMs and LLM-powered agents for a global user base, and a desire to build pioneering language technology to inform, delight, and empower all users.
- Ability to design and implement novel evaluations and perform statistical analysis.
About the job
At DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. We are seeking a highly motivated Research Scientist to join our team and contribute to groundbreaking research in language technology with a focus on multilingual and multicultural ability.In this role, you will need to be able to understand and work on promising research directions, and implement them. You will have both theoretical background and experience with neural network training. You will collaborate closely with other leading researchers, contributing to the development of techniques to build language models and applications that respond accurately and appropriately for a global user base.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Solve new problems/improve performance of existing models, (e.g., improving or evaluating the capabilities of models, or measuring outcomes).
- Develop technical solutions to test these ideas and assess performance.
- Communicate research findings and technical ideas verbally and in writing.
- Contribute to team collaborations to meet research goals.
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