Research Scientist, Social Memory

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.

Key responsibilities:

• 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.