Research Scientist, Post-AGI Research

At Google DeepMind, we have 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 to understand technological paths for AI development in a post-AGI world and accelerators, frictions, and hard limits along these paths. This role is part of a team uniquely mandated to map the post-AGI future. Key questions surround novel scaling laws (e.g., for test-time scaling or group agents), developing benchmarking methodology for the superhuman regime, and quantitative forecasting of AI progress.

We are seeking a Research Scientist to understand the space of possibilities for technical AI progress in a post-AGI world. Key responsibilities include:

• Spearheading foundational research projects exploring how AI technology and capabilities might develop in a post-AGI world.
• Formalising sharp research questions, conducting theoretical analysis, and developing mathematical models.
• Identifying inflection points and mechanisms that have major influence on the technological trajectory.
• Designing and conducting experiments with today’s systems and technology to help anticipate and forecast future developments and trajectories.
• Engaging in collaborative efforts with cross-functional teams, including our interdisciplinary post-AGI research team, external partners, and the wider scientific community, to drive understanding and foster scientifically grounded discourse.
• Laying pioneering groundwork and diving deep into research at the frontier of today’s understanding of AI and beyond.
• Engaging with the broader socioeconomic impacts of AI progress, and helping build and deploy technology responsibly and with care.

About you: We seek out individuals with a strong technical background who thrive in ambiguity and are eager to contribute to and drive forward evolving projects. We look for the following skills and experience:

• A PhD degree in one of the following areas: computer science, mathematics, physics, cybernetics, or neuroscience.
• Proven track record of formalising challenging problems, theoretical analysis and modelling, and forward-looking empirical projects.
• Expertise in one or more focus areas (Universal AI / AIXI, Information theory, Bayesian statistics, multi-agent systems, scaling laws, benchmarking frontier AI, developing forecasting models).
• A strong track record of publication on AI related topics.
• The ability to identify core research questions that are tractable and impactful.
• Strong interest in developing AI responsibly and with foresight.
• Great communication and interpersonal skills.
• Interest in critically reflecting and challenging conventional beliefs.

In addition, the following would be an advantage:

• Experience with researching the wider impacts of AI, particularly with respect to socioeconomic questions.
• Cross-functional and interdisciplinary collaboration experience.
• Effectively communicating findings to diverse audiences.

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 opportunities 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.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf.

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Closing date: Tuesday, 17th March at 5:00pm GMT.