Media Intelligence Quality Engineer

Apple, Inc.; Barcelona; On-site; EUR 90,000 - 120,000; Full time

Job summary

Apple, Inc. in Barcelona is seeking a Tools and Automation Engineer to partner with Engineering and Stakeholder teams to build automation, tooling, and testing infrastructure for ML features.

You will design scalable automated test plans across Services apps, develop frameworks and scripts for functional, regression, and performance testing, and collaborate cross-functionally to raise quality and reliability of customer experiences.

Qualifications

• 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.

Responsibilities

• Design scalable automated test plans for machine learning features across Services apps.
• Develop and maintain automated test frameworks, scripts, and tools for functional, regression, integration, and performance testing.
• Collaborate cross-functionally with various teams to achieve quality goals.

Skills

Python/Java

QA planning

Automation testing

Independent work

Education

BSc in Computer Science or equivalent

Tools

SQL

ML testing tools

Job description

Barcelona, Barcelona, Spain Software and Services

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. 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.

Description

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 An excellent candidate will have passion for music and value great end-user experiences

Minimum Qualifications

• 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 Qualifications

• Understanding of Machine Learning and LLMs
• Stochastic Automation
• Experience with databases and SQL

At 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.

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