Apple is seeking to pioneer the future of intelligent quality assurance for Mac and Home products by building large automated frameworks to gather thousands of hours of test data weekly and ensuring world-changing products are delivered at the highest quality to all 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
- Experience applying ML to anomaly detection, predictive maintenance, or test optimization
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
- Understand the context where an application will be deployed, providing insights to potential failures
- 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
- Thrive in uncertain, rapid project schedules, being able to quickly shift priorities, maximize testing time, and deploy AI solutions that adapt to changing requirements
- Ensure scalability, reliability, and maintainability of systems in production environments
Other
- Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
- Strong verbal and written communication skills
- Excellent written and verbal communication skills
- Ability to work in a cross-disciplinary team environment
- Provide training on a regular basis and mentor others as needed
