SummaryApple 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. 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. This is not a task-based job; you will be responsible for successful outcomes and delivery. 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.
DescriptionThe 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 testingInvent, build and evaluate novel methods for automating quality analysis of large complex machine learning productsInvestigate issues impacting and discovered by automated tests ensuring issues are accurately identified and resolvedCreate systems that can perform loss pattern analysis on issues identified via automationCollaborate cross functionally with various teams to achieve strategic quality goalsAn excellent candidate will have passion for music and value great end-user experiencesMinimum QualificationsBSc in Computer Science or equivalent work experienceExperience developing in Python, Java or similarDeep knowledge of QA test planning, bug lifecycle, engineering & release strategiesExcellent communication skillsDriven self-starter that can work independently and values collaborationPreferred QualificationsUnderstanding of Machine Learning and LLMsData VisualisationStochastic AutomationLoss Pattern AnalysisExperience with databases and SQLAt Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplaceRole Number: 200691897-0215

📌 Media Intelligence Quality Engineer (Barcelona)
🏢 Apple
📍 Barcelona