January 31, 2025

Data Verification Quality Engineer

Mid • On-site

$117,800 - $205,500/yr

Cupertino, CA

Summary

Posted:
Weekly Hours: 40
Role Number:200588809
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. As part of our team, you will focus on ensuring seamless integration and optimal performance for Apple TV on the web and AirPlay across various devices. Your work will involve developing automated tests to enhance efficiency, validating video features to deliver high-quality user experiences, and conducting thorough performance and regression testing to maintain system reliability. You'll collaborate with developers to refine our products, using tools like Splunk for data analysis and network simulation to ensure robustness under real-world conditions. By creating detailed test plans and cases, you will play a crucial role in maintaining the quality and functionality of our platform. Join us in driving innovation and delivering reliable experiences that make a meaningful impact on how users interact with Apple TV and AirPlay.

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

  • 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.