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
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.
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
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. Perform meta-quality checks, validate the integrity of vendor work, and provide feedback to improve both human and model performance.
Act as the subject matter expert for our Software Quality Operations, working: closely with stakeholders, program leads, and vendor teams to ensure seamless adoption and maximum impact of AI/ML advancements in our quality processes. Be the trusted source for creating and updating technical policies, guidelines, and standard operating procedures for new scopes, platforms, and driving signals
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.
What they're looking for
- A proven ability to work in a fast-paced, high-stress environment while maintaining good judgment.
- Excellent communication and interpersonal skills to effectively collaborate: with a wide range of individuals in a diverse and dynamic work environment.
- BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
- Increased competency in supporting all phases of the machine learning: development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
