Apple’s Creative Music Apps team in Rellingen (Germany) is seeking a talented software quality assurance engineer for our DSP & Machine Learning QA team.
Description
You will evaluate existing and new products on macOS, iOS & iPadOS, create comprehensive test plans, and work closely with our engineering team to ensure that Apple’s products maintain a high level of quality and excellent performance. You should be passionate about music creation and audio recording and should display a relentless and methodical dedication to software quality. The ideal candidate will be a top-notch communicator and team player.
This role involves a continuous commitment to quality assurance, encompassing the maintenance and expansion of our essential test tools. Thorough testing of new features alongside comprehensive regression testing to safeguard existing functionality in our ML-based technologies.
Responsibilities
Stress-test ML models and DSP algorithms to identify regressions in latency, CPU load impact, and memory consumption. Design and execute test strategies for ML-powered audio features, evaluating model output quality and consistency across our applications. Developing automated tests to qualify features and measure performance. Developing analysis scripts for audio comparison, model output, and objective measurement of quality. Testing of new feature implementation and regression testing of existing software. Define and implement comprehensive QA strategies for ML model testing. Collaborating with ML engineers to define quality metrics and acceptance criteria for model outputs. Acceptance and integration testing on daily builds of software. Using our products as a customer to ensure they are of the highest possible quality.
Minimum Qualifications
Knowledge and experience with the quality assurance process. Solid understanding of digital signal processing fundamentals. Experience with audio recording and handling of Digital Audio Workstations. Attention to detail and an unwillingness to settle for a product that is just “good enough”.
Preferred Qualifications
Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. Passionate about building customer-facing features and testing ML tools and infrastructure. Strong written and verbal communication skills. Excellent scripting skills and experience in troubleshooting complex structures. Experience in developing test strategies and executing them with test automation. Experience with audio analysis tools and libraries. Understanding of core ML concepts. Knowledge of music theory and recording technology.
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