Data Verification Quality Engineer

Summary

Posted: Jan 30, 2025

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

• 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.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.