[Remote] Software Quality Operations Specialist, Domain Expansion
Note: The job is a remote job and is open to candidates in USA. Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The Software Quality Operations Specialist will support the development of machine learning tools and processes to ensure the safety and quality of the Waymo Driver, while also enabling market expansion and driving engineering velocity.
Responsibilities
- Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive 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
- Scale workflow from 16/5 to 24/7 coordinating with external stakeholders, vendor team, and FTE team
Skills
- BS/BA degree and 4 years of relevant work experience in QC or AV Software Quality Operations
- Increased competency in supporting all phases of the machine learning development life-cycle: data preparation, training, 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
- 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
- Demonstrated strong execution with ability to drive outcomes
- Ability to effectively and efficiently communicate with cross-functional stakeholders
- Experience working with offshore teams / multiple local operations hubs
- Competency in LLM / transformer models, and / or ML for robotics domain experience
- Basic SQL querying and PLX coding experience
- Using subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions
- Self-motivated with basic skills in task planning and time management
- Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics
- Experience assessing AV safety performance
Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
- Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Company Overview