Waymo is looking to solve the problem of ensuring the safety, reliability, and quality of the Waymo Driver, the world's most experienced driver, by building an adaptable and scalable operation powered by AI to deliver crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service.
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.
- Experience working with offshore teams / multiple local operations hubs.
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.
- Serve as the key link between AI/ML development and operational execution.
- Design and implement robust quality control processes for both human and AI-generated outputs.
- 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.
- Provide technical leadership and consultation to stakeholders to enhance our workflows and quality.
- Identify and escalate issues with our tools, provide technical requirements to engineering, and drive user testing to support the development and deployment of new tooling features.
Other
- 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.
- Must have the ability to work a flexible schedule, including some weekends and holidays, as needed.
- BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
- Self-motivated with basic skills in task planning and time management.
