Founding ML Engineer

Founding ML Engineer Book a Demo ← Back to Careers Research ML Engineer Build foundational technologies for enterprise superintelligence LondonFull-timePavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding ML Engineer focused on Agentic Systems, you will contribute to build the foundational technologies for enterprise superintelligence: you help architect memory, reasoning, and learning capabilities of our autonomous agents. You will tackle hard problems in long-horizon planning, knowledge representation, and agentic learning, combining state-of-the-art research with world-class engineering to build a new computing paradigm. If you are a world expert in search, retrieval, or reinforcement learning who is driven to define the future of agentic AI, this is your ideal role. What You'll Do You will define the capabilities of our AI teammates by working on: - →Build Foundational Agent Memory: Design and scale the foundational long-horizon memory and knowledge infrastructure that will allow agents to learn, recall, and reason over vast, evolving enterprise contexts. This is not about simple RAG; it's about pioneering the future of agent memory (episodic, semantic, and procedural