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We are seeking a highly motivated and detail-oriented software development intern to contribute to an innovative project leveraging Artificial Intelligence (AI) to detect weaknesses in source code. This internship focuses on the collection, preparation, and augmentation of data related to Common Weakness Enumerations (CWEs) to enhance the accuracy and effectiveness of AI models in identifying software vulnerabilities. In this role, you will support critical data collection activities from publicly available vulnerability databases, preprocess and clean the data for analysis, and contribute to developing strategies to enrich the dataset by creating diverse examples for each CWE. You will work on advancing the capabilities of automated systems to identify software security weaknesses. You will assist in collecting and curating vulnerability data, ensuring its quality and consistency, and researching methods for augmenting the dataset to include more representative entries for each CWE. This role will involve analyzing existing datasets, identifying gaps, and working closely with developers and data scientists to implement and evaluate data augmentation techniques. You will help define approaches for increasing the diversity of training examples, which is critical to improving AI model performance and generalization. As part of a dynamic team, you will collaborate closely with senior developers and project leads, offering your expertise in prototyping data pipelines, testing preprocessing workflows, and developing strategies to manage data at scale, while gaining invaluable experience in a cutting-edge, technological environment. Working closely with a multidisciplinary team of cybersecurity experts, AI researchers, and software engineers, you will gain hands-on experience in combining AI with software security research. We are looking for someone who is ready to take on challenges, learn rapidly, and make a significant mark in the field of security automation.
