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Salary
$130k – $160k per year
Location
Remote (United States)
Seniority
Middle · 4+ years exp
Visa
H-1B filings in 12 months: 331 · green card filings: 28
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jun 10, 2026. Waymo scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Waymo is an American autonomous driving company that began as the Google self-driving car project in 2009 and became a standalone Alphabet subsidiary in 2016. It operates the largest fully driverless commercial ride-hailing service in the world through the Waymo One app, carrying paying passengers with no human in the vehicle across Phoenix, San Francisco, Los Angeles, Austin and an expanding list of cities. Headquartered in Mountain View, California, the company builds its own sensor suite and the Waymo Driver software stack, integrates them into vehicles from partners such as Jaguar, Zeekr and Hyundai, and also develops autonomous trucking technology.

Join our team as a Software Quality Operations Specialist, where you will partner with Engineering to design, test, and deploy cutting-edge Machine Learning and Generative AI models. You will proactively identify emerging on-road issue trends, develop data-driven strategies for issue discovery and monitoring, and serve as the key link between AI/ML development and operational execution. Additionally, you will design and implement robust quality control processes, act as the subject matter expert for Software Quality Operations, and provide technical leadership and consultation to stakeholders.

Missions

  • Collaborer avec l'ingénierie pour concevoir, tester et déployer des modèles et outils d'apprentissage automatique.
  • Utiliser des informations alimentées par l'IA pour identifier proactivement les tendances émergentes et les nouveaux scénarios de risque.
  • Servir de lien clé entre le développement de l'IA/ML et l'exécution opérationnelle, en définissant et en documentant de nouvelles politiques.

Profil recherché

- Experience with ML testing and validation, including dataset quality assurance, bias detection, edge-case scenario testing, and performance evaluation using statistical metrics

- Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring

- Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations

- BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations

- Must have the ability to work a flexible schedule, including some weekends and holidays, as needed

- Experience working with offshore teams / multiple local operations hubs

- Demonstrated strong execution with ability to drive outcomes

- Basic SQL querying

- Competency in LLM / transformer models, and / or ML for robotics domain experience

- A greater focus on using your 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

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