Naptha AI
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 • AI Agents • LLMs • Machine Learning • Autonomous Agents
Research Scientist - Test Time Compute
February 10
Naptha AI
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 • AI Agents • LLMs • Machine Learning • Autonomous Agents
📋 Description
• We are seeking an exceptional AI Research Scientist to join Naptha AI, focusing on test time compute optimization for large language models. • Responsible for researching and developing approaches to improve inference efficiency and enhance model performance. • Critical role in solving technical challenges around model compression and deployment optimization. • Work at the intersection of machine learning, systems optimization, and hardware acceleration for real-world solutions. • Collaborate with engineering to implement and test new ideas for efficient inference pipelines.
🎯 Requirements
• Strong background in machine learning and systems optimization • Deep understanding of model compression and efficient inference techniques • Hands-on experience with modern ML frameworks and deployment tools • Experience with ML infrastructure and hardware acceleration • Track record of implementing efficient ML systems • Excellent programming skills (Python required, C++/CUDA a plus) • Strong analytical and problem-solving abilities • PhD in Machine Learning, Computer Science, Mathematics, or equivalent experience is a plus • Published research in relevant fields is a plus
🏖️ Benefits
• Competitive salary with significant equity stake • Remote-first work environment • Full medical, dental, and vision coverage • Flexible PTO policy • Learning and development budget • Conference and research publication support • Home office setup allowance
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