Job Description
📋 Description Partner with Engineering to design, test, and deploy ML/Gen-AI models to improve issue discovery Leverage AI insights and triage signals to identify on-road issue trends and risk scenarios. Bridge AI/ML development and operations; define SOPs integrating AI insights into vendor workflows. Design and implement robust quality controls for human and AI outputs; perform meta-quality checks. Act as SME for Software Quality Operations; collaborate with stakeholders and vendor teams to Provide technical leadership to enhance workflows, escalate tool issues, and guide testing of new 🎯 Requirements BS/BA or 4 years in AV Software Quality Operations. Experience across ML lifecycle: data prep, training, validation, deployment, monitoring. Experience with ML testing/validation, dataset QA, bias detection, edge-case testing, performance Ability to learn quickly, understand driving rules, and work with proprietary tools. Occasional on-call evenings/weekends; willingness to meet outside standard hours for global Strong communication and collaboration skills for a diverse, dynamic environment. 🎁 Benefits Eligible for discretionary annual bonus program and equity incentive plan. Generous Company benefits program. Opportunity to work with offshore teams and multiple hubs.
