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We are looking for a Research Scientist to join our team to research the development of next-generation search and language modeling technologies to power safe and accurate generative information systems.

Artificial Intelligence could be one of humanity’s most useful inventions. 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 public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority!

Within the team, Research Scientists are encouraged to lead/support a problem-driven research agenda aimed at producing both fundamental and practically applicable technological advances in the ability of organising information and making it universally useful with AI.

The expectation is to conduct novel research in a way that balances a longer-horizon research agendas with short term value for the user on important information needs.

• Spearhead the ideation and development of new capabilities of multimodal LLM-based systems for conversational search and question answering.
• Partner with research engineers to develop ambitious prototypes.
• Report results in academic conferences and journals.

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 relevant technical field or equivalent practical experience.
• Experience in a research domain connected to generative models.
• Experience with LLMs fine-tuning, in-context learning, prompt optimization.

• Experience with multimodal LLMs.
• Experience with human evaluation design, running human data collections and analysis. Familiarity with scalable oversight and alignment problems.
• Experience with open-ended learning, RL, RLHF, RLAIF, preference optimization, constitutional AI etc.

Applications close on Thursday 12th October at 5pm BST and will be reviewed on a rolling basis.