Smart Contract Security Audit Intern (AI Audit)

Role overview Contribute to security reviews of token and related smart contracts, while exploring how AI can make vulnerability detection more efficient and thorough. The internship also offers exposure to security incident analysis, combining manual investigation with automated techniques to improve audit practices.

Responsibilities - Review ERC-20, ERC-721, and other smart contracts for common security weaknesses. - Explore AI, large language models, and agent-based approaches to automate vulnerability detection. - Assess how automation can improve audit efficiency and broaden the range of issues identified. - Help investigate Web3 security incidents, analyzing causes, vulnerability categories, and potential impact. - Use findings from reviews and incident analysis to inform improvements to audit methods.

Requirements - Bachelor’s degree or higher in computer science, information security, cryptography, or a related field; current graduate students are especially encouraged to apply. - Proficiency in Solidity and a solid understanding of EVM internals. - Knowledge of common token standards, including ERC-20, ERC-721, or ERC-777. - Familiarity with Ethereum or BSC, and ability to recognize common smart contract vulnerabilities and attack patterns.

Nice to have Experience applying AI or LLMs to contract security, participation in CTFs or audit competitions, or a record of identifying significant bugs. Familiarity with DeFi protocols or L1/L2 architectures, Rust or Go skills, and contributions to Web3 open-source or automated audit tools are also useful.

Benefits and work setup The listing mentions professional learning support, team events, international collaboration, and opportunities for career development and internal mobility.