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.\\n\\nThe 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.\\n

This 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.\n

Min. of 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning.\nStrong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques.\nUnderstand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.\nProficient in Python and/or Swift or comparable languages.\nPreparing and collecting data for evaluation and ensuring data quality.\nMeticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.\nDetail-oriented, analytical, methodical and creative thinker committed to driving quality forward\nPrototyping and tools development\nStrong presentation skills and ability to adapt technical presentation to various audiences.\nBachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience

Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus\nUnderstanding of SQA methodologies and practices, software engineering experience preferred