The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
International RO & New Market Readiness: Concerted effort to update triage policy, standing Voice of Customer in new countries. Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights to Product and Data Science partners.
Supporting the development of a single, automated, end-to-end machine: learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver.
Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver.
Workflow Incubation & Development: Incubating high-impact workflows and ensuring readiness for automation and long-term operational excellence.
Partner with Engineering to design, test, and deploy cutting-edge Machine: Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. Provides technical requirements to Engineering for tooling that supports new market workflows (e.g., localization of ML/Gen-AI models, new data pipelines).
Leverage AI-powered insights and traditional triage signals to proactively: identify emerging on-road issue trends, new risk scenarios, and edge cases. Develop and refine data-driven strategies for issue discovery and monitoring, enhanced by ML model outputs
What they're looking for
- Serve as the key link between AI/ML development and operational execution.: Define and document new policies, guidelines, and Standard Operating Procedures (SOPs) that integrate AI tools and insights into daily vendor workflows.
- Design and implement robust quality control processes for both human and: AI-generated outputs. Designs and validates new triage policies, SOPs, and quality control processes specifically for London/Tokyo driving rules and data signals.
- Act as the Subject Matter Expert for technical policies and guidelines in the: new market. Consult with local/international stakeholders to ensure seamless adoption of technical policies.
- Provide technical leadership and consultation to stakeholders to enhance our: workflows and quality. You'll be at the forefront of identifying and escalating issues with our tools, providing technical requirements to engineering, and driving user testing to support the development and deployment of new tooling features.