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Research Scientist (Multi-agent Systems)
Posted 6 days agoViewed
🏢 Company: Naptha AI👥 11-50💰 $6,000,000 Pre-seed 5 months agoDeveloper ToolsDeveloper PlatformArtificial Intelligence (AI)Machine LearningGenerative AIRobotic Process Automation (RPA)
Requirements:
- 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
- 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
Responsibilities:
- Design and implement novel architectures for scalable multi-agent systems
- Develop frameworks for agent communication and coordination
- Research approaches to improve agent interoperability across different frameworks
- Create efficient protocols for distributed task execution and resource management
- Implement and test new ideas through rapid prototyping
- 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 when appropriate
- Help evaluate and integrate external research developments
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