Naptha AI is a modular AI platform for autonomous agents that enables developers to build AI applications, conduct AI research, and scale cooperative AI agents on the agentic web. The platform focuses on enhancing multi-agent systems, allowing collaborative networks of AI agents to work together, and supporting self-evolution and economic functionality in AI actions. With tools like the Naptha SDK and the Naptha Hub, users can create, share, and develop innovative AI solutions in a community-driven environment.
Artificial Intelligence β’ AI Agents β’ LLMs β’ Machine Learning β’ Autonomous Agents
February 10
Naptha AI is a modular AI platform for autonomous agents that enables developers to build AI applications, conduct AI research, and scale cooperative AI agents on the agentic web. The platform focuses on enhancing multi-agent systems, allowing collaborative networks of AI agents to work together, and supporting self-evolution and economic functionality in AI actions. With tools like the Naptha SDK and the Naptha Hub, users can create, share, and develop innovative AI solutions in a community-driven environment.
Artificial Intelligence β’ AI Agents β’ LLMs β’ Machine Learning β’ Autonomous Agents
β’ We are seeking an exceptional Agent Economics Researcher to study and design incentive structures and economic systems for large-scale AI agent networks. β’ Shape the future of AI agent infrastructure at a massively ambitious scale. β’ Develop theoretical and practical frameworks for how agents cooperate, compete, and create value.
β’ PhD or equivalent experience in Economics, Computer Science, or related field β’ Strong background in mechanism design and game theory β’ Experience with multi-agent systems or markets β’ Understanding of distributed systems economics β’ Strong mathematical and analytical skills β’ Interest in both theoretical and applied research β’ Ability to translate economic theory into practical systems β’ Research experience in economics or mechanism design β’ Strong mathematical and modeling skills β’ Programming ability for economic simulations β’ Track record of novel research contributions β’ Understanding of distributed systems β’ Experience with experimental design
β’ Highly competitive salary and significant equity stake β’ Remote-first work environment β’ Full medical, dental, and vision coverage β’ Flexible PTO policy β’ Research conference budget β’ Publication support β’ Learning and development budget
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πΊπΈ United States β Remote
π΅ $180k - $220k / year
π° $60M Series C on 2022-06
β° Full Time
π‘ Mid-level
π Senior
𧬠Research Scientist
π¦ H1B Visa Sponsor
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