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’ Seeking an exceptional AI Research Scientist for advancing multi-agent systems β’ Responsible for researching and developing novel approaches to agent collaboration, coordination, and scalability β’ Solve core technical challenges around agent communication protocols, task delegation, and distributed intelligence β’ Work at the intersection of multi-agent systems, machine learning, and distributed systems
β’ Strong background in machine learning and AI research β’ Deep understanding of multi-agent systems and reinforcement learning β’ Hands-on experience with modern agent frameworks (e.g., LangChain, AutoGPT) β’ Experience with ML infrastructure and deployment β’ Track record of implementing complex AI systems β’ Excellent programming skills (Python required, Rust a plus) β’ Strong analytical and problem-solving abilities β’ PhD in Machine Learning, Physics, Mathematics, or equivalent experience is a plus β’ Published research in relevant fields is a plus
β’ Competitive salary with significant equity stake β’ Remote-first work environment β’ Full medical, dental, and vision coverage β’ Flexible PTO policy β’ Learning and development budget β’ Conference and research publication support β’ Home office setup allowance
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