Description

Description

As a Software Engineer you will be responsible for the development of key new areas of Mac and Home stability test coverage enhanced by machine learning capabilities while also balancing the day-to-day operations of existing automation that runs on thousands of units daily.

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
• 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

Minimum Qualifications

• Bachelors degree in CS/CE/EE and a minimum of 5 years relevant industry experience
• 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
• Strong problem-solving skills and ability to work in a cross-disciplinary team environment
• Excellent written and verbal communication skills

Preferred Qualifications

• Strong verbal and written communication skills
• Academic background in data science, machine learning, computer vision, and statistical data analysis
• Experience in data analysis and developing data visualizations & reporting with tools such as Tableau or Superset
• Experience applying ML to anomaly detection, predictive maintenance, or test optimization

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .