The Graphics, Games & Machine learning (GGML) team is looking for a Machine Learning Test and Automation Engineer to help deliver next-generation Apple Intelligence SW features on both On-Device and Private Cloud Compute.
In this role, you will work hand-in-hand with GGML software developers and cross-functional ML teams during all project phases, collaborating on feature definition, quality plan, and test development.
We’re looking for someone who is excited to explore new ideas, challenge assumptions, and create innovative approaches to validating complex ML systems. You bring curiosity, creativity, and a passion for quality — and you’re energized by the opportunity to work on technologies that reach millions of users while preserving their privacy.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
Familiarity with machine learning frameworks like PyTorch
Understanding of the complete model development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring
Responsibilities
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
Eeo Content
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
