Research Scientist, Social Memory

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.

As a Research Scientist in the Social Memory and Reasoning team, you will lead fundamental research into long-horizon memory and reasoning architectures. You will focus on the core challenge of enabling agents to maintain, organize, and retrieve context over massive timescales—using complex social environments as a rigorous testbed for general capabilities. You will design novel mechanisms for episodic and associative memory that allow agents to track evolving dynamics, reason over extended histories, and infer latent states in multi-agent settings. By solving these hard memory problems, you will help build the cognitive foundations for agents capable of sophisticated reasoning and coherent interaction in open-ended worlds.

• Design novel memory architectures that enable models to retain long-term context and evolve through episodic recall.
• Develop multi-agent environments to test and refine social dynamics, context sharing, and persistent interactions.
• Establish rigorous evaluation benchmarks to quantify retrieval accuracy, temporal consistency, and social coherence.
• Collaborate across disciplines, partnering with colleagues with backgrounds from fields such as computational neuroscience, cognitive science, ethics, UX, and security.
• Embed safety and privacy directly into memory retrieval systems to ensure responsible handling of sensitive user context.

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 Computer Science, Computational Neuroscience, Cognitive Science, or related field 
• Experience training/fine-tuning Large Language Models or Generative AI, with a good understanding of scaling laws and training challenges.
• Proficiency in Python, C++ or equivalent programming languages.

In addition, the following would be an advantage: 

• Background in Natural Language Processing. 
• Experience with multi agent systems.

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 opportunity 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.