Responsibilities
- Collaborate with our blockchain security team to design and implement a large language model (LLM)-based AI agent for security audit tools.
- Experiment with novel AI techniques to enhance threat detection and risk assessment in blockchain environments.
- Assist in transforming cutting-edge research on AI agents into practical, scalable security auditing solutions.
- Continuously research emerging trends in LLMs, AI agent architectures, and cybersecurity, and proactively propose improvements.
Requirements
- Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a strong emphasis on machine learning, natural language processing, and/or cybersecurity.
- Deep understanding of LLM architectures (e.g., transformers) and hands-on experience in training or fine-tuning such models.
- Proficiency in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow).
- Basic familiarity with blockchain technology and smart contract development is a plus.
- Excellent analytical skills, problem-solving capabilities, and the ability to thrive in a fast-paced, innovative startup environment.
- Strong written and verbal communication skills in English.
Bonus Points
- Prior research or project experience in developing AI agents or automated security analysis tools.
- Exposure to security audit methodologies and vulnerability assessment, particularly in blockchain or smart contract environments.
- Familiarity with blockchain programming languages (e.g., Solidity) and platforms (e.g., Ethereum).
- Publications or contributions to leading conferences/journals in AI, NLP, or cybersecurity.
- Demonstrated ability to translate research insights into effective, production-ready tools.
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