Blockchain Security Expert Intern - AI Track

Role overview Develop and explore an AI agent that helps analyze smart contracts and strengthens blockchain security audits. This research-focused internship combines large language model development with practical experimentation on threat detection and risk assessment.

Responsibilities - Work with security specialists to design and implement an LLM-based agent for audit tools. - Experiment with AI methods for identifying threats and assessing risk in blockchain environments. - Help turn research on AI agents into scalable security audit capabilities. - Track developments in language models, agent design, and cybersecurity, and suggest improvements.

Requirements - Pursuing or recently completed a PhD in AI, computer science, or a related field, with emphasis on machine learning, NLP, or cybersecurity. - Understand transformer-based LLM architectures and have hands-on model training or fine-tuning experience. - Program in Python and have used a deep learning framework such as PyTorch or TensorFlow. - Bring strong analytical, problem-solving, and English communication skills.

Nice to have - Familiarity with blockchain technology, smart contracts, Solidity, or Ethereum. - Experience building AI agents or automated security analysis tools. - Exposure to security audits or vulnerability assessment, especially for smart contracts. - Research publications or contributions in AI, NLP, or cybersecurity, and an ability to turn research into production-ready tools.