Snapshot
Join our team in Mountain View CA as a Research Scientist. You will play a vital role in pushing the boundaries of generative AI and large language models. Our primary focus is to address a range of cutting-edge foundational and applied research challenges at the interface of Generative AI and information retrieval systems aiming to improve the factuality safety and trustworthiness of frontier LLM systems. The team focuses on data modeling and applications. Join us in shaping the future of generative AI and contributing to groundbreaking solutions that drive real-world impact.
About Us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.
This role will involve conducting cutting-edge foundational and applied research related to:
- data: advance the state-of-the-art in data representations via advancements in content understanding synthetic data etc.
- modeling: develop transformative modeling advances in pre-training supervised fine-tuning reinforcement learning and retrieval augmented models
- applications: deploy groundbreaking solutions that drive real-world impact across Googles products and services
Key responsibilities:
- Conduct novel research related to generative AI systems and their interaction with information retrieval.
- Deploy groundbreaking solutions to drive real-world impact.
- Engage with the external research community
About You
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience::
- PhD in a technical field or equivalent practical experience.
- Track record of research publications related to generative AI large language models and/or information retrieval.
In addition the following would be an advantage:
- Practical experience developing and deploying novel generative AI benchmarks and modeling techniques that solve real-world problems
SnapshotJoin our team in Mountain View CA as a Research Scientist. You will play a vital role in pushing the boundaries of generative AI and large language models. Our primary focus is to address a range of cutting-edge foundational and applied research challenges at the interface of Generative AI a...
Snapshot
Join our team in Mountain View CA as a Research Scientist. You will play a vital role in pushing the boundaries of generative AI and large language models. Our primary focus is to address a range of cutting-edge foundational and applied research challenges at the interface of Generative AI and information retrieval systems aiming to improve the factuality safety and trustworthiness of frontier LLM systems. The team focuses on data modeling and applications. Join us in shaping the future of generative AI and contributing to groundbreaking solutions that drive real-world impact.
About Us
Artificial Intelligence could be one of humanitys most useful inventions. At Google DeepMind were 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.
This role will involve conducting cutting-edge foundational and applied research related to:
- data: advance the state-of-the-art in data representations via advancements in content understanding synthetic data etc.
- modeling: develop transformative modeling advances in pre-training supervised fine-tuning reinforcement learning and retrieval augmented models
- applications: deploy groundbreaking solutions that drive real-world impact across Googles products and services
Key responsibilities:
- Conduct novel research related to generative AI systems and their interaction with information retrieval.
- Deploy groundbreaking solutions to drive real-world impact.
- Engage with the external research community
About You
In order to set you up for success as a Research Scientist at Google DeepMind we look for the following skills and experience::
- PhD in a technical field or equivalent practical experience.
- Track record of research publications related to generative AI large language models and/or information retrieval.
In addition the following would be an advantage:
- Practical experience developing and deploying novel generative AI benchmarks and modeling techniques that solve real-world problems
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