Software QA Engineer, Machine Learning

About the position

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.

Responsibilities

• Scripting and parsing data.
• Working closely with the annotation operations team.
• Analyzing annotations and test results to ensure features work end-to-end for customers.
• Developing and implementing workflow projects.
• Conducting regression testing and bug filing.
• Collaborating with team members to develop requirements.
• Identifying appropriate testing implementations processes and methodologies.
• Managing priorities and communicating progress and risks through regular status updates.

Requirements

• Minimum 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.
• Understanding of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
• Experience in 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.

Nice-to-haves

• Bachelor's degree combined with an understanding of SQA methodologies.
• Experience in machine learning and software engineering.