Media Intelligence Quality Engineer

Apple

Barcelona

On-site

EUR 70,000 - 100,000

Full time

36 hours ago
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Job summary

Apple is seeking a Tools and Automation Engineer in Barcelona to design scalable automated test plans for machine learning features across Services apps. You will develop test frameworks, tooling, and performance tests, collaborating with engineering and product teams to deliver reliable quality under tight schedules.

The ideal candidate has strong Python or Java skills, experience with QA processes, and a passion for building dependable automation that scales for hundreds of millions of users.

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.
  • Excellent communication skills.
  • Driven self-starter that can work independently and values collaboration.

Responsibilities

  • 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

Skills

Python
Java
QA test planning
Bug lifecycle
Independent worker
Communication

Education

BSc in Computer Science or equivalent

Tools

Databases
SQL

Job description

Summary

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
  • Excellent communication skills
  • Driven self-starter that can work independently and values collaboration
Preferred Qualifications
  • Understanding of Machine Learning and LLMs
  • Data Visualisation
  • Stochastic Automation
  • Loss Pattern Analysis
  • 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.

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 workplace

Role Number: 200691897-0215

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