Software QA Engineer, Machine Learning - Creativity Apps

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.The Creativity Apps QA team is seeking a Software QA Engineer, Machine Learning to help us ensure that our iOS and macOS creativity applications are high-quality. We're looking for an engineer to take projects from initial data mining and research through all stages of prototyping, development, testing, and final integration into our Apps' clients. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of Apple's customers every day.DescriptionThis position requires a self-motivated individual with strong technical, problem solving and communication skills, and the willingness to work in a sophisticated environment. Responsibilities include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies.Preferred QualificationsUnderstanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plusUnderstanding of SQA methodologies and practices, software engineering experience preferredMinimum QualificationsMin. of 5 years industry experience ideally in quality assurance with a prior focus