Software QA Engineer, Machine Learning

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 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.

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.

Minimum Qualifications

Min. of 5 years industry experience ideally in quality assurance with a prior focus in 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. Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.

Preferred Qualifications

Bachelor's degree combined with an understanding of SQA methodologies, machine learning and software engineering experience