Founding Applied Scientist at fast-growing AI startup

As a Founding Applied Scientist, you will architect the foundational memory, reasoning, and learning capabilities of autonomous agentic systems. You will transcend traditional ML engineering by pioneering technologies for long-horizon planning and knowledge representation. This role focuses on building enterprise-grade superintelligence by combining cutting-edge research with world-class engineering to define the future of agentic AI.

Fast-growing AI startup

• Design and scale foundational long-horizon memory and knowledge infrastructure that enables agents to reason over evolving enterprise contexts.
• Develop state-of-the-art search and retriever systems using novel indexing techniques and new forms of knowledge representation.
• Apply deep expertise in reinforcement learning and reasoning to guide agentic behavior in complex, multi-step tasks.

• Possesses world-class expertise in search, retrieval, or reinforcement learning with a track record of applying research to production systems.
• Demonstrates strong engineering fundamentals to design and deploy robust, enterprise-grade systems capable of scaling to trillion-agent interactions.
• Thrives in high-autonomy environments and is driven to define the foundational technologies for enterprise-level agentic superintelligence.

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• You will be a founding member of the team, directly shaping the core architecture of next-generation autonomous agents.
• Backed by top-tier VCs, the company offers the stability of significant funding with the high-impact environment of an early-stage startup.
• The role moves beyond standard RAG, allowing you to innovate on unsolved problems in multi-stage retrieval and synthetic world models.