Machine Learning Test and Automation Engineer, Graphics, Games, and ML

As an Automation Engineer, you will design and build scalable test solutions that validate both on-device and distributed Apple Intelligence inference. Your work will focus on ensuring the correctness, reliability, and performance of our inference runtime software. You will develop functional and performance tests that push our systems to their limits, helping us deliver fast, efficient, and trustworthy ML-based experiences across Apple’s ecosystem. Build scalable test solutions for validating ML-based inferences on Apple's hardware Design and maintain CI/CD pipelines to accelerate presubmissions and improve integration speed Help define and enforce best practices for automated testing within a high-velocity ML development lifecycle Partner closely with cross-functional teams, including ML engineering, infrastructure, and Apple Services Engineering Team to identify gaps in coverage and streamline testing strategies Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience 4+ years of proven experience in Software Quality Assurance Proficiency in Swift or Python Familiarity with XCTests/Xcode Experience building scalable automated test frameworks and integrating them into CI/CD pipelines Creative and analytical problem solver with strong attention to detail; highly organized, self-driven, and motivated to deliver results Familiarity with machine learning frameworks like PyTorch Understanding of the complete model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring

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