Research Scientist, Discovery Team

Key Skills

Aartificial intelligence, Design, Large Language Models - LLMs, Machine learning techniques

Job Description

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.

We’re looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents. Previous experience with Deep RL, planning, LLMs and domain expertise in relevant problems is valued.

Key responsibilities

• Design, implement and evaluate models, agents and software prototypes of perceptual 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 Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

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.

In addition, the following would be an advantage:

• PhD in machine learning, artificial intelligence or computer science.
• Relevant experience to the position such as post doctoral roles, a proven track record of publications, or deep neural network architectures.
• A real passion for AI!

Application deadline: 12pm BST Thursday 25th April 2024