Who you are

• Relevant background: Demonstrated skills related to state-of-the-art model development practices, emergent frameworks and tooling, or privacy-preserving compute methods. Prior experience with blockchain protocols is a plus. Contributions to open source AI or distributed systems projects are especially valued
• Research excellence: Strong background in research, whether in academia, labs, or applied industry settings. Experience ideally includes AI, distributed systems, optimization, or cryptography. A PhD is welcome but not required if you have a strong track record of impactful projects
• Excellent communication and collaboration skills: Comfortable collaborating with diverse teams across both the AI and open-source/blockchain ecosystems, as well as with academic researchers and industry practitioners
• Passion for decentralized AI: Strong motivation to carve an alternative path for AI—one that is open source, censorship resistant, democratic, private, and secure
• Ability to thrive in a distributed environment: Comfortable working in a fully remote, asynchronous organization across time zones

What the job involves

• The EF recently launched the dAI Team, focused on making Ethereum the global, decentralized settlement and coordination layer for AI. Our aim is to pioneer the field of AI on blockchains: defining standards, supporting open-source builders, and laying the groundwork for AI systems that are secure, verifiable, and censorship-resistant
• As a Member of AI Staff, you will join a small, research-driven group tackling frontier problems at the intersection of AI and decentralized systems
• You’ll work on open questions around multi-agent coordination, verifiable inference, privacy-preserving compute, and decentralized infrastructure for AI. The role is highly collaborative, spanning research, engineering, and engagement with leading AI and Web3 projects worldwide
• Lay the foundations of a new discipline (AI on blockchains): Conduct foundational research at the intersection of AI and Ethereum—multi-agent systems coordination, decentralization of key components in the AI stack, AI system validation, and privacy
• Close the chasm between Ethereum and AI communities: Forge relationships and collaborations with AI researchers and practitioners—both industry and academic—through co-writing ERCs/EIPs (such as ERC-8004 which is getting a lot of traction in the ecosystem), contributing to open source AI projects and frameworks, co-authoring papers, and presenting at major conferences
• Influence the roadmap of the dAI Team: Translate research into applied proposals that improve the Ethereum protocol and ecosystem infrastructure
• Research in conversation with the community, not in isolation: AI on Ethereum is fundamentally about using the chain as a coordination layer to foster security, privacy, composability, and other properties that centralized AI cannot provide
• Staying closely connected to the community is a priority—both by actively sharing new projects and results outwardly, and by drawing inspiration from the many experiments ecosystem teams are running in this emerging field

Benefits

• Remote-first: our team is distributed across the globe (with option of offices in e.g. Berlin or Boulder)
• Flat hierarchy: independence in day-to-day work
• Optional travel throughout the year: Ethereum conferences, research workshops, annual Devcon event
• Collaborations with academia & industry: we maintain collaborations on high-impact projects with the industry and grant relationships with academia
• Flexible PTO