
1001 - 5000 employés
Fondée en 2016
🚗 Transport
🤖 Intelligence artificielle
💰 €2 500 000 000 Private Equity Round en 2021-06
Transport • Artificial Intelligence • Autonomous Vehicles
Waymo est un service de covoiturage autonome pionnier qui vise à révolutionner le transport en le rendant plus sûr, plus accessible et durable. Opérant dans plusieurs villes telles que San Francisco, Los Angeles et Phoenix, Waymo propose le premier service de covoiturage sans conducteur au monde, Waymo One, qui utilise une technologie autonome avancée. Leur mission est de créer des routes plus sûres et de fournir une mobilité inclusive, garantissant que le transport est cohérent et pratique pour tous, avec un fort accent sur la sécurité et la durabilité. La technologie autonome de Waymo, connue sous le nom de Waymo Driver, est conçue pour offrir un nouveau niveau de liberté dans la mobilité, réduisant la dépendance aux voitures conduites par des humains.
🕒 il y a 7 jours
🇺🇸 États-Unis – Télétravail
💵 $130 000 - $160 000 / an
⏰ Temps Plein
🟡 Intermédiaire
🟠 Senior
⚙️ Opérations
🦅 Parrain de Visa H1B
🗣️🇺🇸🇬🇧 Anglais requis
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1001 - 5000 employés
Fondée en 2016
🚗 Transport
🤖 Intelligence artificielle
💰 €2 500 000 000 Private Equity Round en 2021-06
Transport • Artificial Intelligence • Autonomous Vehicles
Waymo est un service de covoiturage autonome pionnier qui vise à révolutionner le transport en le rendant plus sûr, plus accessible et durable. Opérant dans plusieurs villes telles que San Francisco, Los Angeles et Phoenix, Waymo propose le premier service de covoiturage sans conducteur au monde, Waymo One, qui utilise une technologie autonome avancée. Leur mission est de créer des routes plus sûres et de fournir une mobilité inclusive, garantissant que le transport est cohérent et pratique pour tous, avec un fort accent sur la sécurité et la durabilité. La technologie autonome de Waymo, connue sous le nom de Waymo Driver, est conçue pour offrir un nouveau niveau de liberté dans la mobilité, réduisant la dépendance aux voitures conduites par des humains.
• 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 & 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. • 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. • 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. • Must have the ability to work a flexible schedule, including some weekends and holidays, as needed.
• 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
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