About the role#
This internship focuses on developing intelligent AI agents powered by large language models (LLMs) to enhance security audit tools for the blockchain industry. You will work alongside the blockchain security team to bridge academic research with practical security applications, helping to design, fine-tune, and integrate AI agents that automatically analyze smart contracts and identify vulnerabilities.
What you'll do#
- Collaborate with the blockchain security team to design and implement LLM-based AI agents for security audit tools.
- Experiment with novel AI techniques to improve threat detection and risk assessment within blockchain environments.
- Transform research on AI agents into practical, scalable security auditing solutions.
- Research emerging trends in LLMs, AI agent architectures, and cybersecurity to propose technical improvements.
What you'll need#
- Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with a focus on machine learning, natural language processing, or cybersecurity.
- Deep understanding of LLM architectures, such as transformers, with hands-on experience in training or fine-tuning models.
- Proficiency in Python and experience with deep learning frameworks like PyTorch or TensorFlow.
- Strong analytical and problem-solving skills.
- Basic familiarity with blockchain technology and smart contract development is considered a plus.
Location & details#
- This is a paid, full-time internship.
- The role is remote, with a base in New York, New York.
- Applications are accepted on a rolling basis.
