Software Quality Operations Specialist – Domain Expansion

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

💵 $120 000 - $151 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

⚙️ Opérations

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Waymo

Site WebLinkedInTous les Emplois

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.

Description

• Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools. • 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. • Provide technical leadership and consultation to stakeholders to enhance our workflows and quality. • Scale workflow from 16/5 to 24/7 coordinating with external stakeholders, vendor team, and FTE team.

🎯 Exigences

• 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.

🏖️ Avantages

• Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program. • Equity incentive plan. • Generous Company benefits program, subject to eligibility requirements.