About the role#
This role focuses on building an intelligent AI agent powered by large language models to improve security audit tools. You will bridge academic research with practical application by designing, fine-tuning, and integrating agents that automatically analyze smart contracts to identify vulnerabilities. You will work directly with our security team to improve threat detection and risk assessment methods.
What you'll do#
- Collaborate with the blockchain security team to design and implement an LLM-based AI agent for security audit tools.
- Experiment with AI techniques to enhance threat detection and risk assessment in 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 improvements.
What you'll need#
- Currently pursuing or recently completed a PhD in Artificial Intelligence, Computer Science, or a related field, with an emphasis on machine learning, natural language processing, or cybersecurity.
- Deep understanding of LLM architectures, such as transformers, and hands-on experience training or fine-tuning these 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 a plus.
Location & details#
- This is a full-time, paid internship.
- The role is remote and accepts applications on a rolling basis.
- We do not provide visa sponsorship for this position.
About CertiK
CertiK provides security services for the Web3 industry. Founded in 2018, the company maintains its headquarters in New York. It employs over 200 people and focuses on formal verification, blockchain security, and smart contract auditing. The firm serves enterprise clients across 150 countries.
How to get in at CertiK
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