AI QA Engineer
Apple· Machine Learning and AI
BeijingFull-timePosted 4mo ago
About the role
Quality & Operations Engineer role focused on QA testing, live system troubleshooting, root-cause analysis across the tech stack, and leveraging generative AI (LLMs) to build internal tooling and optimize engineering processes.
Responsibilities
- - Proactive Quality Assurance & Testing: design, automate, and execute rigorous testing strategies; identify hidden system anomalies, functional bugs, and quality degradation before they impact users.
- - Deep Root-Cause Analysis & Triaging: trace issues across multi-tier architectures from backend services to client-side logs to pinpoint defect origins.
- - AI-Empowered Development & Tooling: develop internal tools, scripts, and automation frameworks using LLM capabilities to boost testing efficiency, log analysis, and productivity.
- - Live Operations & Incident Response: monitor service health, investigate live anomalies, manage time-sensitive inquiries, and drive production issue resolution.
- - Infrastructure & Automation Optimization: maintain and enhance QA automation frameworks, CI/CD pipelines, and basic monitoring tools.
- - Cross-Functional Remediation: collaborate with internal engineering, ML teams, and third-party partners to translate findings into permanent systemic fixes.
Qualifications
- - BS/MS in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.
- - Solid foundation in CS with a balanced technical background across Quality Assurance, Software Troubleshooting, and System Operations.
- - Strong proficiency in testing and debugging complex distributed systems; ability to isolate bugs from backend services to client applications.
- - Fundamental knowledge of generative AI concepts (e.g., LLMs); ability to use AI models via APIs for development, automation, and optimization.
- - Demonstrated experience in QA automation, live incident response, and driving technical escalations to resolution in fast-paced environments.
- - Practical experience reading and interpreting client-side logs (e.g., iOS/macOS) for end-to-end triaging.
- - Excellent analytical, root-cause analysis, and communication skills for diverse teams.
Skills
Required:Scripting and automationAI concepts and LLMsQA automationLive incident responseRoot-cause analysis
Benefits
- Apple is an equal opportunity employer committed to inclusion and diversity; accommodations available for applicants with disabilities.
- Accessibility initiatives and resources available in the workplace.
Last updated Jul 3, 2026. Interested? Apply on the company site.
About Apple
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.
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