Sr SW QA Engineer, Machine Learning
Apple
Summary
Description
Minimum Qualifications
Key Qualifications
- A minimum of 5 or more years in quality assurance and/or quality engineering 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.
- 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.
- iOS and macOS familiarity is not required but nice to have.
- Prototyping and tools development is not required but nice to have.
Preferred Qualifications
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.