Quality Engineer - Machine Learning

Cupertino, California, United States Software and Services

Join the Sensing and Connectivity team to work on Location Technologies that power critical experiences in Apple products. We are seeking a highly skilled Quality Engineer to ensure the quality, reliability, and performance of our ML models, data pipelines, and AI-driven products. As part of a highly energetic team, you will collaborate closely with the development team and cross-functional stakeholders to comprehend features and leverage data-driven test results to shape and refine Apple products. Additionally, you will have the opportunity to work on cutting-edge location intelligence features powered by ML Models across various operating systems, including iOS and WatchOS.

Description

We are seeking an engineer with a fundamental understanding of ML and able to drive training and testing dataset curation. You will utilize your programming expertise to automate test processes, conduct data analysis, and generate comprehensive reports.

Responsibilities

• In this position, you will be responsible for owning the quality of the end-to-end features powered by location context features.
• Develop automated tests that qualify the features, measure performance, and system memory usage.
• Identify KPIs that define the project’s success, dashboard, and track progress across releases.
• Define quality assurance strategies for ML models, including validation of training data, features, and labels

Minimum Qualifications

Preferred Qualifications

This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

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