Automation and Triage Engineer, Siri

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

As an Automation and Triage Engineer for Siri Quality, you will build the tools and systems that hold Siri to the highest standard. You'll design frameworks and automated pipelines that rigorously test how Siri performs across Apple platforms - evaluating whether it truly understands user intent, leverages available on-device context, and delivers an experience that feels effortless and intelligent. Your work transforms subjective quality into measurable signal, giving engineering and ML teams the clarity they need to move fast and ship with confidence.

Minimum Qualifications

Bachelor's Degree in Computer Science or related field.
8+ years of experience in a software development or test engineering role, with demonstrated leadership in quality strategy, and automation.
Strong software engineering fundamentals with hands-on experience in Python, Swift, or both, and a track record of building test automation frameworks, CI/CD pipelines, or evaluation infrastructure for complex software systems.
Experience with agentic coding systems, using AI-assisted development tools to accelerate implementation, prototype evaluation pipelines, and tackle complex engineering problems with speed and precision.
Familiarity with machine learning concepts and LLM-based systems - including evaluation methodologies, prompt design, and model behavior analysis.

Preferred Qualifications

Experience with on-device AI, natural language understanding, or conversational systems is a strong plus, as is familiarity with scenario-based testing, or agent trajectory analysis.
Prior work on quality or reliability for consumer-facing AI products is especially valued.