Media Intelligence Quality Engineer

We're looking for a Tools and Automation Engineer to partner with our Engineering and Stakeholder teams to build the automation, tooling, and testing infrastructure behind complex, customer-facing machine learning features under demanding timelines. Bonus points for experience supporting new product introductions.

About Apple

• Apple Services sits at the heart of Apple's most beloved experiences, a place where the culture of curiosity, creativity, and relentless attention to detail that defines
• Apple is channelled into shipping features that reach hundreds of millions of people every day.

Responsibilities

• This is not a task-based job; you will be responsible for successful outcomes and delivery.
• The work will involve designing and implementing scalable automated test plans for machine learning features across Services apps including Music and TV+. Some of the key responsibilities in this role will include:
• Developing and maintaining automated test frameworks, scripts, and tools for functional, regression, integration, and performance testing
• Invent, build and evaluate novel methods for automating quality analysis of large complex machine learning products
• Investigate issues impacting and discovered by automated tests ensuring issues are accurately identified and resolved
• Create systems that can perform loss pattern analysis on issues identified via automation
• Collaborate cross functionally with various teams to achieve strategic quality goals
• Loss Pattern Analysis

Requirements

• Strong fundamentals in Python or Java are required.
• Experience with agentic testing, LLMs, or an understanding of stochastic automation is preferred but not essential, we care more about how you think than which specific tools you've used.
• You take ownership of what you build; you feel a personal stake in the reliability and quality of the systems you ship; you communicate scope and tradeoffs clearly; you value integrity; you thrive in ambiguity and bring order to it; you understand how systems actually work under the hood; you build strong relationships across engineering teams; you are constantly looking to improve your tools, your team, and yourself; and you ship automation that millions of customers benefit from, even if they never see it.
• An excellent candidate will have passion for music and value great end-user experiences
• BSc in Computer Science or equivalent work experience

Experience developing in Python, Java or similar

• Deep knowledge of QA test planning, bug lifecycle, engineering & release strategies
• Driven self-starter that can work independently and values collaboration

Preferred

• Understanding of Machine Learning and LLMs
• Data Visualisation