Research Scientist (Multi-agent Systems)

Strong background in machine learning and AI research Deep understanding of multi-agent systems and reinforcement learning Hands-on experience with modern agent frameworks (e.g., LangChain, AutoGPT) Experience with ML infrastructure and deployment Track record of implementing complex AI systems Excellent programming skills (Python required, Rust a plus) Strong analytical and problem-solving abilities PhD in Machine Learning, Physics, Mathematics, or equivalent experience is a plus Published research in relevant fields is a plus Python programming and ML frameworks (PyTorch, TensorFlow) Experience with agent frameworks (LangChain, AutoGPT, etc.) MLOps and model deployment Distributed systems and scalable architecture Version control and collaborative development Experience with large language models

Design and implement novel architectures for scalable multi-agent systems Develop frameworks for agent communication and coordination Research approaches to improve agent interoperability Create efficient protocols for distributed task execution Implement and test new ideas through rapid prototyping Stay at the forefront of developments in multi-agent systems and AI research Identify and solve key technical challenges in agent interoperability Develop novel approaches to agent collaboration and task delegation Bridge theoretical research with practical implementation Contribute to the academic community through publications and open source Help design and implement core platform architecture Develop scalable solutions for agent deployment and management Create tools and frameworks for agent monitoring and evaluation Collaborate with engineering team on implementation Build proofs of concept for new capabilities Work closely with engineering team to implement research findings Mentor team members on advanced ML concepts and techniques Contribute to technical strategy and roadmap Collaborate with external research partners Help evaluate and integrate external research developments