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 leverage AI-powered insights to identify emerging on-road trends and risk scenarios while developing data-driven strategies for monitoring. A key responsibility includes defining and documenting policies and standard operating procedures that integrate AI tools into daily workflows. The position requires designing robust quality control processes to validate both human and AI-generated outputs. Additionally, the role serves as a subject matter expert to ensure the seamless adoption of AI advancements across operational teams. Finally, the individual will provide technical leadership to enhance workflows and coordinate the scaling of operations to a 24/7 schedule.

Candidates must possess a BS/BA degree and at least four years of relevant work experience in QC or AV Software Quality Operations. Necessary qualifications include competency in the machine learning development life-cycle and experience with ML testing, validation, and performance evaluation. Applicants must demonstrate the ability to learn proprietary tools quickly and maintain strong judgment in high-stress environments. Excellent communication and interpersonal skills are required to collaborate effectively with cross-functional stakeholders.