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Software Quality Operations Specialist
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2025-12-31
Listing for:
Waymo
Full Time
position Listed on 2025-12-31
Job specializations:
-
Software Development
AI Engineer, Data Scientist
Job Description & How to Apply Below
Why consider this job opportunity:
- Salary range up to $61.06 per hour
- Eligibility for an annual bonus program and equity incentive plan
- Generous company benefits program
- Opportunity for career advancement and growth within a rapidly expanding company
- Engage in cutting‑edge technology, including Machine Learning and AI
- Work in a fast‑paced, innovative environment that values collaboration
- Partner with Engineering to design, test, and deploy Machine Learning and Generative AI models to enhance quality assurance processes
- Identify emerging on‑road issue trends and develop data‑driven strategies for issue discovery and monitoring
- Serve as the link between AI/ML development and operational execution, defining new policies and Standard Operating Procedures
- Implement robust quality control processes for human and AI‑generated outputs, ensuring integrity and performance validation
- Provide technical leadership and consultation to stakeholders to improve workflows and quality assurance measures
- BS/BA degree or 4 years of relevant work experience in AV Software Quality Operations
- Competency in supporting all phases of the machine learning development lifecycle
- Experience with ML testing and validation, including dataset quality assurance and performance evaluation
- Ability to quickly learn and implement new concepts and tools, with a strong understanding of driving rules and regulations
- Flexibility to work a schedule that may include weekends and holidays
- Demonstrated strong execution with the ability to drive outcomes
- Experience working with offshore teams or multiple local operations hubs
- Basic SQL querying skills
- Competency in LLM/transformer models or ML for robotics domain experience
- Self‑motivated with skills in task planning and time management
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