Machine Learning Quality Assurance Manager Full-time

Summary
Imagine what you could do here! The people here at Apple don’t just build products – we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

As an ML QA Manager, you will be responsible for managing a team of ML QA engineers dedicated to evaluating the performance and quality of machine learning models used in our photo and video editing features. You will play a critical role in maintaining the high standards of our products by developing and implementing robust testing frameworks, leading testing efforts, and collaborating closely with cross-functional teams. This role requires a deep understanding of machine learning, quality assurance, and leadership skills to drive the team towards excellence.

Description
The ideal candidate will have a deep understanding of machine learning, quality assurance, and leadership skills to drive the team towards excellence. You will be responsible for managing a team of ML QA engineers dedicated to evaluating the quality of machine learning models used in our photo and video editing features. You will be responsible for planning and driving execution of testing for multiple simultaneous development initiatives. Your ability to work closely with development teams, to identify and understand key features and their underlying functionality, will be the key to your success. Your experience with video and/or photo editing will help you to produce a clear and concise picture of product quality for the project, from concept to product release. You will be working closely with other QA and engineering team members to help coordinate cross-functional test efforts. Your capacity for defining, hiring, and developing a world-class QA team is vital. Your ongoing curiosity and commitment to self-education in video and/or image technologies as well as new testing techniques is what will set you apart.