Ensure world-changing Mac and Home products are delivered at the highest quality to all our customers by building large automated frameworks to gather thousands of hours of test data weekly and developing next-generation automation tools that predict, prevent, and optimize critical system failures before they impact customers.
Requirements
- Solid understanding of machine learning algorithms and their practical application
- Knowledge of hardware/software validation, hardware/software integration, or testing methodologies
- Strong programming skills and hands-on experience with Python
- Experience with CoreML, Swift, and iOS/macOS machine learning development
- Experience with relevant ML frameworks (PyTorch, TensorFlow, or JAX)
- Experience building robust and scalable tools, frameworks and automation systems
- Academic background in data science, machine learning, computer vision, and statistical data analysis
Responsibilities
- Design and implement on-the-fly automated stress and stability hardware-centric software tests for embedded systems
- Design and implement ML-powered test automation frameworks and validation tools
- Write and update problem reports enhanced with ML analysis that explains issues, predicts root causes, and provides data-driven recommendations for fixes
- Analyze large volumes of validation/test data and build predictive models to detect issues early
- Ensure scalability, reliability, and maintainability of systems in production environments
- Work with cross-functional teams to help collect and define requirements for AI-enhanced tools, automation, and intelligent reporting systems
- Provide training on a regular basis and mentor others as needed
Other
- Strong verbal and written communication skills
- Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
- Strong problem-solving skills and ability to work in a cross-disciplinary team environment
- Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
- Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
