5 дней назад
Staff Software Quality Safety Operations Specialist (AI)
190 000 - 234 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Quality Safety Operations Specialist (AI/Autonomous Vehicles): Building scalable safety triage, machine learning operations, and quality assurance workflows for the Waymo Driver with an accent on human-in-the-loop ML, generative AI, and dataset quality. Focus on decomposing complex safety workflows, validating ML models, detecting edge cases and emerging risks, and translating AI insights into operational standards.
Location: On-site or remote; remote employment may not be available in all locations and the listed salary range applies across US locations.
Salary: $190,000–$234,000 USD annually, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.
What you will do
- Develop the strategy and technical implementation for decomposing complex safety triage workflows and scaling their automation.
- Define requirements for human-in-the-loop machine learning systems and high-quality human feedback.
- Partner with Engineering to design, test, and deploy machine learning and generative AI models and tools.
- Use AI-powered insights and traditional triage signals to identify emerging road issues, risk scenarios, and edge cases.
- Author technical policies, standards, strategic roadmaps, and operational process blueprints.
- Advise senior stakeholders on long-term technical and operational strategy.
Requirements
- BS/BA degree or 7+ years of relevant experience in autonomous vehicle software quality operations or ML operations.
- Experience managing complex technical projects and collaborating with Product, Engineering, Data Science, and Systems Engineering.
- Experience across the machine learning lifecycle, including data preparation, training, validation, deployment, and monitoring.
- Experience with ML testing and validation, dataset quality assurance, bias detection, edge-case testing, and statistical performance evaluation.
- Strong understanding of driving rules and regulations, with the ability to work effectively in high-stress environments.
- Excellent communication and interpersonal skills.
Nice to have
- Technical undergraduate degree.
- Experience in the autonomous vehicle space.
- Experience with LLMs, transformer models, or machine learning for robotics.
- SQL and data analysis skills.
- Experience working with offshore teams or multiple local operations hubs.
Culture & Benefits
- Work may be available on-site or remotely, subject to location eligibility.
- Eligibility for a discretionary annual bonus program and equity incentive plan.
- Company benefits are available subject to eligibility requirements.
- Work supports the safety, reliability, and expansion of autonomous vehicle services.
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