Waymo is looking to scale its autonomous driving technology safely and efficiently by improving the quality assurance processes for its Waymo Driver, particularly by integrating AI and ML advancements into operations.
Requirements
- Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring.
- Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics.
- Ability to quickly learn and implement new concepts and utilize proprietary tools.
- Strong understanding of driving rules and regulations.
- Basic SQL querying.
- Competency in LLM / transformer models, and / or ML for robotics domain experience.
Responsibilities
- 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
- 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.
- Provide technical leadership and consultation to stakeholders to enhance our workflows and quality.
Other
- Serve as the key link between AI/ML development and operational execution.
- 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
- 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.
