Quality Engineer - Machine Learning

Join the Sensing and Connectivity team at Apple to work on Location Technologies that power critical experiences in Apple products. As a Quality Engineer, you'll ensure the quality, reliability, and performance of ML models, data pipelines, and AI-driven products. You'll work with a highly energetic team, collaborating closely with development teams and stakeholders to understand features and use data-driven test results to shape Apple products. The role involves working on cutting-edge location intelligence features powered by ML Models across iOS and WatchOS.

You'll be responsible for driving training and testing dataset curation, utilizing programming expertise to automate test processes, conduct data analysis, and generate comprehensive reports. The ideal candidate should be passionate about building customer-facing features and ML tools, possess excellent debugging skills, and have experience in developing test strategies with automation.

Key qualifications include strong Python programming skills, understanding of core ML concepts, and the ability to thrive in a collaborative environment. You'll need excellent communication skills and a proven track record of effectively prioritizing and delivering tasks on schedule. This role offers an opportunity to impact Apple's location-based services while working with state-of-the-art machine learning technologies.

The position combines quality engineering with machine learning expertise, requiring both technical depth in testing methodologies and understanding of ML principles. You'll be instrumental in ensuring the reliability and performance of Apple's location-based ML features across their ecosystem.