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Текст:
Hirify AI/Оригинал
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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