Job Description:
• Formulate and execute small, high-leverage research projects aligned with our product roadmap (e.g., LLM evaluation, retrieval, agent systems, multimodal research).
• Independently build and validate end-to-end prototypes — from data preparation and model fine-tuning to performance testing and delivering functional demos.
• Design and run experimental pipelines autonomously, including setting up research environments and defining evaluation metrics.
• Translate research outcomes into executable solutions, collaborating with engineering to integrate findings into production systems.
• Stay current with the latest ML and generative AI research, pragmatically adapting state-of-the-art methods to real use cases.
• Work directly with company leadership to align research directions with strategic initiatives and ensure tangible, real-world impact.
Requirements:
• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field (required).
• 3+ years of full-time, hands-on ML/AI research experience (academic or industry).
• Demonstrated expertise or ongoing research in AI agents or generative AI.
• Proficiency with PyTorch or JAX, and experience in fine-tuning, evaluation design, and LLM-powered agent experimentation.
• Strong software engineering skills in Python, TypeScript, shell scripting, and cloud environments.
• Fluency in English, both verbal and written.
• Scrappy, self-sufficient, and comfortable working independently with minimal guidance.
Benefits:
• token incentives, designed to align with the long-term success of the ZetaChain network
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