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Staff Software Quality Safety Operations Specialist

🕒 August 15

🏄 California – Remote

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💵 $190k - $234k / year

⏰ Full Time

🔴 Lead

⚙️ Operations

🦅 H1B Visa Sponsor

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Logo of Waymo

Waymo

1001 - 5000 employees

Founded 2016

📦 Logistics

🚗 Transport

🤖 Artificial Intelligence

💰 $2.5G Private Equity Round on 2021-06

Logistics • Transport • Artificial Intelligence

Waymo is a pioneering autonomous ride-hailing service aiming to revolutionize transportation by making it safer, more accessible, and sustainable. Operating in multiple cities like San Francisco, Los Angeles, and Phoenix, Waymo offers the world's first driverless ride-hailing service, Waymo One, which utilizes advanced autonomous technology. Their mission is to create safer roads and provide inclusive mobility, ensuring that transportation is consistent and convenient for all, with a strong emphasis on safety and sustainability. Waymo's autonomous technology, known as the Waymo Driver, is designed to offer a new level of freedom in transportation, reducing the dependency on human-driven cars.

📋 Description

• Drive the strategy and technical implementation of decomposing complex safety triage workflows. • Develop and apply advanced operational and ML techniques to enable automation and scalability as mileage and geographic operations expand. • Serve as the subject matter expert for human-in-the-loop ML systems in the safety problem space. • Define and refine requirements for generating high-quality human feedback to optimize ML model performance. • Partner with Engineering to design, test, and deploy ML and Generative AI models and tools for issue discovery, detection, triage efficiency, and quality assurance. • Use AI-powered insights and traditional triage signals to identify emerging on-road issue trends, risk scenarios, and edge cases. • Develop data-driven strategies for issue discovery and monitoring using ML model outputs. • Link AI/ML development with operational execution. • Author and drive adoption of technical policies, standards, strategic roadmaps, and process blueprints. • Advise senior stakeholders on long-term technical strategy and operational capabilities.

🎯 Requirements

• BS/BA degree or 7+ years of relevant work experience in AV Software Quality Operations / ML Operations • Proven ability to manage complex, technical projects and work across Product, Engineering, Data Science, and Systems Engineering partners • Competency across all phases of the machine learning development lifecycle, from data preparation and training through 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 use proprietary tools • Strong understanding of driving rules and regulations • Ability to work in a fast-paced, high-stress environment while maintaining good judgment • Excellent communication and interpersonal skills • Undergraduate technical degree preferred • Experience within the A/V space preferred • Competency in LLM/transformer models and/or ML for robotics preferred • Competency in SQL querying/data analysis preferred • Experience working with offshore teams or multiple local operations hubs preferred

🏖️ Benefits

• Discretionary annual bonus program • Equity incentive plan • Generous Company benefits program, subject to eligibility requirements • Remote work options, subject to location availability

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