Summary
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 Senior Software ML QA Engineer 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 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.

Key Qualifications
A minimum of 3 years of demonstrated ability in quality assurance and/or quality engineering of Machine Learning
Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques
Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI
Preparing and collecting data for evaluation and ensuring data quality
Proficient in Python and/or Swift or comparable languages
Preferred understanding of photography, video, and in-depth knowledge of image processing algorithms and related statistical metrics
Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus
Understanding of SQA methodologies and practices, software engineering experience preferred
Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward
Inquisitive with the ability to investigate and debug difficult problems
Comfortable and adaptable in a fast-paced, dynamic environment
Prototyping and tools development is not required but nice to have
iOS and macOS familiarity is not required but nice to have

Description
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.

Education & Experience
Bachelor's Degree in Computer Science or an equivalent of 5 years experience focused in machine learning is required.

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