Music AIML QE Engineer

Apple Services sits at the heart of Apples 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. Were 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 music recommendation systems (e.g. the dynamically personalised Home tab in Apple Music) 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 youve 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.

The work will involve designing and implementing scalable automated test plans for music machine learning features. Some of the key responsibilities in this role will include:nDeveloping and maintaining automated test frameworks scripts and tools for functional regression integration and performance testingnInvent build and evaluate novel methods for automating quality analysis of large complex machine learning productsnInvestigate issues impacting and discovered by automated tests ensuring issues are accurately identified and resolvednCreate systems that can perform loss pattern analysis on issues identified via automationnCollaborate cross functionally with various teams to achieve strategic quality goalsnAn excellent candidate will have passion for music and value great end-user experiencesn

BSc in Computer Science or equivalent work experiencenExperience developing in Python Java or similarnDeep knowledge of QA test planning bug lifecycle engineering u0026 release strategiesnExcellent communication skillsnDriven self-starter that can work independently and values collaboration

Understanding of Machine Learning and LLMsnData VisualisationnStochastic AutomationnLoss Pattern AnalysisnExperience with databases and SQL