The role involves partnering with engineering teams to design, test, and deploy machine learning and generative AI models to improve issue discovery and quality assurance. The individual will serve as a bridge between AI development and operational execution by defining policies and standard operating procedures. Responsibilities include leveraging AI-powered insights to identify on-road issue trends and risk scenarios. The position requires designing quality control processes for both human and AI-generated outputs. Additionally, the role involves collaborating with regulatory compliance teams to operationalize reporting requirements for specific international markets.

Candidates must possess a Bachelor of Arts or Bachelor of Science degree in a technical or legal field, or demonstrate equivalent experience. A minimum of seven years of experience in regulatory compliance, autonomous vehicle qualification, or a related field is required. Applicants must demonstrate competency in the machine learning development lifecycle, including data preparation, training, validation, and monitoring. The role requires the ability to learn new concepts quickly, utilize proprietary tools, and maintain strong judgment in high-stress environments.