Research Scientist

Key Responsibilities 

• Conduct original research in multi-agent systems, autonomous coordination, collective intelligence, and learning in distributed settings 
• Design and prototype reasoning, communication, and negotiation frameworks for large-scale agent ecosystems 
• Develop models, protocols, and architectures that enhance agent interoperability, verifiability, and adaptivity
• Collaborate with engineering teams to operationalize research outputs, integrating them into Nasiko's core platform 
• Publish high-quality research and contribute to shaping industry standards for AI coordination

 

What We're Looking For 

Required: 

• PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related field 
• Strong foundation in one or more of the following areas: 
• Machine learning, deep learning, reinforcement learning, or planning algorithms 
• Graph-based learning and relational reasoning 
• Multi-agent systems and coordination 
• Optimization and distributed algorithms 
• Demonstrated track record of high-quality research, including publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, AAMAS, CoRL, AAAI, IJCAI) 
• Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.) 
• Strong systems-thinking ability with a balance of theoretical depth and practical implementation skills 
• Excellent problem-solving, communication, and collaboration abilities