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Apple Data Verification Quality Engineer United States, California, Cupertino 867440750
Yesterday
Description
This role focuses on software quality assurance with an emphasis on video testing, data qualification and validation. The position combines automated and manual testing approaches, using Python and performance testing frameworks. Core responsibilities include developing and executing test plans, conducting thorough manual testing of video-related features, and performing data analysis using Splunk. The role requires collaboration with developers for test plan reviews and involves working with specialized hardware for validation testing. The ideal candidate should be proficient in both manual and automated testing methodologies, with experience in test case development, environment setup, and documentation.
Minimum Qualifications
- Python proficiency required
- Statistics and Probability knowledge
Preferred Qualifications
- Swift proficiency
- JavaScript/Typescript proficiency
- Knowledge of regression or clustering algorithms for prediction and anomaly detection
- Kubernetes, Docker and containerization knowledge
- Machine Learning Libraries: PyTorch or OpenCV
- Machine Learning Algorithms: LSTM, SVM, Naive Bayes
- Test Development & Coverage: End-to-end testing, Unit testing
- API, Server Setup & Debugging: API knowledge, Flask server setup, Server issue debugging
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $117,800 and $205,500, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.
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