Senior Research Scientist, Efficient Long Context and Memory, DeepMind

Google•New York, NY

16d•$207,000 - $300,000

About The Position

As a Research Scientist at Google DeepMind, you will conduct research aimed at advancing AI and addressing complex global challenges, while supporting high-quality product innovation. The role involves identifying weaknesses in current agent capabilities and developing research roadmaps and technical strategies to address them. You will guide ambitious collaborations across Google DeepMind, mentor scientists and engineers, and build partnerships with external research labs and leading researchers. You will communicate research breakthroughs internally and externally and represent the team's work at global venues. Google's research portfolio spans fundamental research, product innovation, product contribution, and infrastructure. Research Scientists set up large-scale tests, deploy promising ideas, manage deadlines and deliverables, and apply current theories to develop products, processes, and technologies. Work may range from experiments and prototypes to new architectures and real-world problems across computer science. Scientists also contribute to the wider research community by sharing and publishing findings, including work inspired by internal projects and collaborations with universities and technical institutes. Google DeepMind is an interdisciplinary AI lab focused on advancing AI for complex global challenges and product innovation. The organization states that safety and ethics are its highest priorities and aims to use its technologies for public benefit and scientific discovery.

Requirements

PhD degree in Computer Science, a related field, or equivalent practical experience.
Experience with post-PhD academic or industry research in artificial intelligence.
One or more scientific publication submissions for conferences, journals, or public repositories.

Nice To Haves

Demonstrated experience mentoring researchers and translating fundamental AI research into major engineering systems or product applications.
Deep, authoritative expertise in scaling deep neural network architectures.
Passion for AGI and for shaping the future of AI safely and responsibly.
A proven track record as a technical lead or principal investigator on complex, large-scale machine learning projects.

Responsibilities

Identify fundamental weaknesses in current agent capabilities and establish research roadmaps and technical strategies to systematically solve them.
Mentor, guide, and elevate junior scientists and engineers, fostering a culture of technical excellence and innovation.
Guide ambitious team collaborations, aligning efforts across Google DeepMind to execute on shared, high-impact research goals.
Report and present complex research breakthroughs clearly and efficiently, and act as a principal representative of the work internally and externally at global venues.
Build, lead, and maintain collaborations with key external research labs and leading individuals in the field.
Set up large-scale tests and deploy promising ideas quickly and broadly while managing deadlines and deliverables.
Contribute to the wider research community by sharing and publishing findings.